Literature DB >> 27200065

Exogenous Application of Growth Enhancers Mitigate Water Stress in Wheat by Antioxidant Elevation.

Hamid Nawaz1, Azra Yasmeen1, Muhammad A Anjum2, Nazim Hussain1.   

Abstract

The present study was conducted to investigate the response of two wheat cultivars (AARI-11 and Millat-11) to a foliar application of four growth enhancers which include: {H2O (water), MLE30 (moringa leaf extract), KCl (potassium chloride), and BAP (benzyl-amino purine)}, within the six irrigation water-regimes which are applied at the various critical growth stages such as crown root initiation (CRI), tillering (T), booting (B), and heading (H). Irrigation water-regimes include: CRI+T+B, CRI+T, CRI+B, T+B, T+H, and control (CRI+T+B+H). The growth enhancers i.e., H2O, MLE30 (1:30), KCl (2%), and BAP (50 mg L(-1)) were applied @ 500 L ha(-1) at tillering and heading stages. The results demonstrated some increased quantities of both enzymatic (superoxide dismutase, peroxidase, catalase) and non-enzymatic (ascorbic acid, phenol) antioxidants in leaves of AARI-11 when MLE30 was applied under T+B and T+H irrigation water-regimes. Similar results were also observed in the case of leaf chlorophyll "a" and "b" and K(+) contents in both cultivars under control, T+B and CRI+T+B irrigation water regimes. AARI-11 produced the highest biological and grain yield, due to the application of MLE30 and BAP under control, CRI+T+B, T+B, and T+H irrigation water-regimes. However, KCl lagged behind among the treatments set for both cultivars under all the irrigation water-regimes. Foliar spray of MLE30 remained prominent growth enhancer and stresses mitigating agent under water deficit conditions particularly under T+B and T+H irrigation water-regimes. Moreover, economic analysis indicated that the foliar application of MLE30 is a cost effective and environment friendly strategy for the maximum yield and income.

Entities:  

Keywords:  benefit cost ratio; enzymes; growth regulators; irrigation water-regimes; non-enzymes

Year:  2016        PMID: 27200065      PMCID: PMC4854884          DOI: 10.3389/fpls.2016.00597

Source DB:  PubMed          Journal:  Front Plant Sci        ISSN: 1664-462X            Impact factor:   5.753


Introduction

Wheat (Triticum aestivum L.) is one of the most important feeding cereals for one-fifth of the world population (FAO, 2011). Therefore, wheat crops require a special attention for an incremental production in order to ease the food security issues for the world population which is growing so rapidly. Today, Wheat plants are facing oxidative damage at cellular level which reduces leaf surface area, crop growth rate, net assimilation rate, leaf chlorophyll and nutrient contents in grains due to insufficient availability of water (Araus et al., 2003). For mitigating oxidative stress, application of irrigations at vegetative and reproductive growth stages is a sensitive tool for obtaining optimum yields. Irrigation water-regimes at the critical growth stages of wheat minimize severe losses of grain yield as at pre-anthesis (1–30%) and post-anthesis (58–92%) stages (Farooq et al., 2014). Hence, to determine the most critical growth stages of wheat for irrigation management and utilization of available water resources is necessary to maximize crop yield. The behavior of plants in surviving and producing good yield under limited water stress is called drought tolerance (Turner, 1979). Plants' tolerance against environmental stresses can be increased by the exogenous application of certain growth enhancers like proline, amino acids, ABA, glycine betaine, BAP, silicon, soluble sugars, humic acid, and potassium (Farooq et al., 2009). Appropriate concentrations of these synthetic enhancers could promote the growth of plants and ameliorate water deficit stress by interfering in metabolic and photosynthesis processes through osmotic adjustment, scavenging ROS, increasing enzymatic and non-enzymatic antioxidants and proteins (Bohnert and Jensen, 1996). Exogenous foliar spray of growth enhancers at the critical growth stages of wheat (tillering, booting, heading, milking), is one of the most significant parts which increase antioxidants status against reactive oxygen species under water deficit condition (Yasmeen et al., 2012). Whereas, using these synthetic growth enhancers like BAP or KCl may cause various drastic effects on wheat grain quality, the consumers' health and benefit cost ratio. However, the applications of naturally occurring growth enhancers like moringa leaf extract (MLE) can be environment friendly and economically feasible. Moringa (Moringa oleifera) is a well-known native tree of southern Punjab (Pakistan) and has proved as an excellent growth enhancer containing K, Ca, Fe, amino acids, ascorbates, and growth regulating hormones such as zeatin (Fuglie, 2000). Yasmeen et al. (2012) screened out the positive impact of MLE at various critical growth stages of wheat under saline stress in control conditions (laboratory) and suggested the best application time at tillering and heading. The responses of MLE application to ameliorate drought impacts in wheat at critical growth stages have not been well established yet. Therefore, the present study was conducted to evaluate the performance of MLE as an organically natural plant growth enhancer in comparison with BAP and KCl for improving the productivity of wheat under various irrigation water-regimes at the critical growth stages.

Materials and methods

The experiments were conducted at the Agronomic Experimental Area, Bahauddin Zakariya University Multan (71.43°E, 30.2°N and 122 m above sea level), Pakistan, during the winter seasons of 2013–2014 and 2014–2015. The region is located in semi-arid and sub-tropical climate and data of mean annual temperature. An average rainfall and relative humanity, during the both years of crop growing period is presented in Figure 1. The soil belongs to Sindhlianwali soil series (fine silty, mixed, hyperthermic, sodic haplocambids) in USDA Hap-lic Yermosols in FAO classification. It was characterized after analyzing the samples taken from different locations of the experimental site. Soil was clay loam having EC 2.42 dS m−1 and pH 8.7, organic matter 0.83–0.88%, total nitrogen 0.05–0.06%, available phosphorus 5.50–5.54 mg kg−1, available potassium 300–303 mg kg−1 and zinc 0.36–0.39 mg kg−1 during both years of trials. The trial comprised two wheat cultivars AARI-11 (drought tolerant) and Millat-11 (drought sensitive; Nawaz et al., 2015). Six irrigation water-regimes were adopted based on the critical growth stages of wheat {Crown Root Initiation (CRI), Tillering (T), Booting (B), and Heading (H) stages} i.e., irrigations applied at CRI+T+B+H (control), irrigations applied at CRI+T+B, irrigations applied at CRI+B, irrigations applied at CRI+H, irrigations applied at T+B and irrigations applied at T+H. The Foliar Application of four growth enhancers i.e. H2O (control), MLE30 (1:30), KCl (2%), BAP (50 mg L−1) @ 500 L ha−1 were applied using garden sprayer (Flat Fan Nozzle). The response of wheat plants to the application of growth enhancers under drought stress or the effect of the growth enhancers on the planted wheat was recorded by measuring growth, yield and biochemical parameters in both the cultivars.
Figure 1

Meteorological data for growing period of wheat crop during the years 2013-2014 and 2014-2015.

Meteorological data for growing period of wheat crop during the years 2013-2014 and 2014-2015. The procedure described by Yasmeen et al. (2012) for the preparation of moringa leaf extract, was followed. Fresh young leaves were collected from moringa trees grown in the Experimental Area of Faculty of Agricultural Sciences and Technology, Bahauddin Zakariya University Multan, Pakistan and stored in a freezer at −80°C. The leaves were crushed through locally available juicer machine; the extract was purified by centrifuging at 8000 rpm for 20 min and diluted 30 times by adding distilled water. Foliar spray of growth enhancers H2O, MLE30, KCl, and BAP was were applied at the tillering and heading stages of the wheat cultivars. Pre-soaking irrigation of 10 cm depth was applied on the soil to prepare the favorable seedbed conditions for the experiment. After observing the soil at a workable moisture level, it was plowed twice, followed by planting. The seed rate was 125 kg ha−1 and NPK applied at 120-100-62.5 kg ha−1 by using fertilizers urea, single super phosphate and potassium sulfate, respectively. Whole recommended phosphorus, potash and one-third of nitrogen were applied as basal dose and the remaining nitrogen was applied in two splits during the growing period of wheat crop. During both years of trial, slight rains in the growing period occurred but its intensity was not enough to change the soil moisture level under applied water deficit stress condition at the critical growth stages. Intercultural practices and crop protection measures were practiced as per requirement of the crop uniformly for all experimental plots. Flag leave samples were collected randomly in the morning time (temp. 20 ± 2°C) and stored in polythene bags at −80°C for antioxidants analysis after just 1 week of the last irrigation and foliar application of growth enhancers at the heading stage. The protocol devised by Bradford (1976) was applied to quantify the total soluble proteins (TSP). For determination of endogenous enzymatic and non-enzymatic antioxidants, standard protocols were adopted to measure peroxidase (POD), catalase (CAT) (Chance and Maehly, 1955), superoxide dismutase (SOD) (Giannopolitis and Reis, 1997), ascorbic acid (AsA) (Ainsworth and Gillespie, 2007), and total phenolic contents (TPC) (Waterhouse, 2001). Leaf chlorophyll (“a” and “b”) (Nagata and Yamashita, 1992) and potassium (K+) contents (Rashid, 1986) were determined as per given standard procedures. The number of the productive tillers (m−2) and the number of grains per spike and 1000-grain weight were also recorded. The mature crop was harvested on the 1st and 2nd fortnight of April during the first and second years of the trail respectively, and threshed manually to determine grain yield, biological yield, and harvest index. The total expenditures of the wheat production were calculated including land rent, seedbed preparation, seed cost, sowing labor, fertilizers, irrigations, weeds preventive measures and harvesting charges of the crops for economic analysis. Gross income was calculated using recent market prices of wheat grains and straw. Net income was obtained by subtracting the total expenditures from gross income and benefit cost-ratio estimated at a ratio of gross income and total expenditures. Data were computed and analyzed statistically using Fisher's analysis of variance technique and LSD test (p < 0.05) to compare differences among the mean values (Steel et al., 1997). Moreover, Microsoft Excel Program 2013 was used for the graphical presentation of meteorological data.

Results

Antioxidants activities

Application of the growth stimulators significantly enhanced the TSP during imposed water deficit stressed levels. However, MLE30 and BAP sprays were more effective in this regard during the both years of study. The maximum TSP was obtained from the foliar application of MLE30 in Millat-11 under irrigation water-regimes of T+B and T+H (Table 1). The effect of exogenously applied stimulators on antioxidants status was found statistically significant (Tables 1, 2). The contents of enzymatic and non-enzymatic antioxidants were increased with the imposition of water deficit stress at the critical growth stages in both wheat cultivars. Among the treatments, MLE30 and BAP application revealed maximum enzymatic activities i.e. SOD, POD, and CAT under irrigated water-regimes of T+B, T+H, and CRI+T respectively, in AARI-11 as compared to Millat-11 during the both years (Tables 1, 2). Irrigation at T+B stages showed a dominant and gradual rise in AsA content in flag leaf of wheat. The maximum contents of AsA (non-enzymatic antioxidants) were observed due to foliar application of MLE30 under all irrigation water-regimes in both cultivars during the both years of trial (Table 2). However, increased content of TPC was obtained under applied irrigations at T+B and T+H stages from applied treatment of MLE30, followed by BAP and KCl in AARI-11 during the both years (Table 2).
Table 1

Influence of different foliar agents on total soluble protein (TSP), superoxide Dismutase (SOD) and peroxidase (POD) of wheat cultivars under various applied irrigation water-regimes during 2013-2014 (Year-I) and 2014-2015 (Year-II).

Year-IYear-II
Foliar applicationH2O2MLEKClBAPH2O2MLE30KClBAP
Wheat cultivarsAARI-11Millat-11AARI-11Millat-11AARI-11Millat-11AARI-11Millat-11MeanAARI-11Millat-11AARI-11Millat-11AARI-11Millat-11AARI-11Millat-11Mean
TSP (mg g−1) Irrigation water-regimesControl (CRI+T+B+H)1.20o.q0.97w1.34d.h1.19o.q1.25k.n1.20n.q1.30g.k1.10uv1.19d1.95d.k1.70r2.02c.f1.87k.n1.98c.h1.85l.o1.97c.j1.79n.q1.89bc
CRI+T+B1.31g.k1.13r.u1.35c.g1.16p.s1.30g.k1.09uv1.27i.l1.10uv1.21cd1.91h.m1.75p.r2.02c.e1.83m.p1.97c.i1.76o.r1.94e.l1.77o.r1.87cd
CRI+B1.27i.l1.13r.u1.38cd1.24l.o1.36c.f1.16q.t1.32f.j1.10t.v1.24b1.80n.q1.72qr2.02c.e1.73qr1.99c.h1.88j.n1.99c.h1.91h.m1.88b.d
CRI+H1.31f.j1.10uv1.34d.h1.20n.q1.31g.k1.18p.r1.30h.k1.12s.u1.23bc1.83m.p1.58s2.02c.f1.87k.n1.92g.l1.87k.n1.98c.h1.77o.r1.85d
T+B1.40bc1.21m.p1.63a1.37c.e1.30g.k1.26j.m1.44b1.34d.h1.37a2.05bc1.87k.n2.30a2.04b.d1.97c.j1.93f.l2.12b2.01c.g2.03a
T+H1.27i.l1.06v1.35c.g1.05v1.32e.i1.21m.q1.31f.j1.24l.o1.23bc1.88i.n1.75p.r2.05bc1.91h.m2.03b.d1.83m.p1.99c.h1.77o.r1.90b
Mean1.29c1.10f1.40a1.20d1.31bc1.18de1.32b1.17e1.90c1.73e2.07a1.87cd1.98b1.85d1.99b1.84d
Mean1.20c1.30a1.24b1.25b1.81c1.97a1.91b1.92b
LSD 0.05p = W*F*V 0.0557, W 0.0197, F 0.0161, F*V 0.0227LSD 0.05p = W*F*V 0.0908, W 0.0321, F 0.0262, F*V 0.0371
SOD (IU min−1mg−1 protein) Irrigation water-regimesControl (CRI+T+B+H)55.25h29.52m75.34e66.68f62.39f46.96i62.89f56.45gh56.93d66.25r.t40.52x86.34j.l77.68mn73.39n.q57.96uv73.89n.p67.45rs67.93e
CRI+T+B44.62i30.56m74.71e74.39e64.18f56.54gh67.08f64.98f59.63c69.32p.r59.15u86.27j.l101.55cd66.82r.t61.70tu75.61no84.82j.l75.65d
CRI+B46.32i36.15kl63.27f78.55e43.82ij38.70jk52.61h61.82fg52.65e62.62s.u48.56w92.7f.i92.39g.i82.18lm74.54n.p85.08j.l82.98k.m77.63c
CRI+H42.53ij31.23lm86.97d75.10e47.11i30.29m66.10f73.87e56.65d62.53s.u51.23w106.9b95.10e.g67.11rs50.29w86.10j.l93.87e.h76.65cd
T+B99.75b52.89h125.59a85.10d94.15c46.65i104.34b74.70e85.39a106.75bc59.89u132.59a92.10g.i101.15d53.65vw111.34b81.70lm92.39a
T+H63.90f44.24i74.53e87.17d64.53f46.67i73.81e64.21f64.88b87.90i.k68.24qr98.53de111.17b88.53h.j70.67o.r97.81d.f88.21i.k88.88b
Mean58.72f37.43h83.40a77.832 b62.69e44.30g71.13c66.00d75.89f54.60h100.57a95.00b79.86e61.47g88.30c83.17d
Mean48.07d80.61a53.50c68.57b65.24d97.78a70.66c85.73b
LSD 0.05p = W*F*V5.3867, W 1.9045, F 1.5550, F*V 2.1991LSD 0.05p = W*F*V 5.0811, W 1.86001, F 1.4690, F*V 2.20470
POD (mmol min−1 mg protein−1) Irrigation water-regimesControl (CRI+T+B+H)22.65h.k17.02z.b27.67b22.30j.l24.26fg21.52l.o25.55cd20.25q.s22.65b28.26lm24.25u31.67de26.30p.s26.65n.q25.52st29.55h.k21.02 w26.65d
CRI+T+B21.51l.o18.01w.y24.51ef19.84r.t21.34m.p17.268y.a22.91h.j18.05w.y20.43d26.34p.s23.05v29.51h.k24.84tu26.51o.r22.26v27.91lm23.01v25.43e
CRI+B20.06rs17.44x.a22.46i.l20.52p.r21.18n.q17.93w.z20.66o.r17.82x.z19.76e26.32p.s24.34u29.36i.k27.42m.o27.56mn24.72tu28.08lm24.83tu26.58d
CRI+H22.18j.m18.37v.x24.11fg21.58l.o22.65h.k19.48s.u22.92h.j18.88u.w21.27c30.45f.h26.17q.s31.91d29.38i.k29.98g.i26.68n.q30.72e.g27.28m.p29.07b
T+B25.28de20.69o.r31.58a24.23fg23.52gh21.69k.n26.27c23.41g.i24.59a31.52de29.69h.j39.58a32.23d33.28c28.69kl34.27b31.41d.f32.59a
T+H19.05t.v14.34c22.41j.l16.26b19.93r.t16.64ab19.84r.t17.46x.a18.24f28.83j.l23.24v31.31d.f25.16tu27.95lm25.54r.t28.74j.l26.36p.s27.14c
Mean21.79c17.65f25.46a20.79d22.15c19.09e23.03b19.31e28.62c25.12f32.22a27.56d28.65c25.57e29.88b25.65e
Mean19.72d19.72d19.72d19.72d26.87c29.89a27.11c27.77b
LSD 0.05p = W*F*V 0.9619, W 0.3401, F 0.2777, F*V 0.3927LSD 0.05p = W*F*V 0.9875, W 0.3491, F 0.2851, F*V 0.4032

Means not sharing the same letters in a group differ significantly at 5% probability level. W, Irrigation Water-regimes; F, Foliar agents; V, Wheat cultivars.

Table 2

Influence of different foliar agents on catalase (CAT), ascorbic acid (AsA) and total phenolic contents (TPC) of wheat cultivars under various applied irrigation water-regimes during 2013-2014 (Year-I) and 2014-2015 (Year-II).

Year-IYear-II
Foliar applicationH2O2MLEKClBAPH2O2MLE30KClBAP
Wheat cultivarsAARI-11Millat-11AARI-11Millat-11AARI-11Millat-11AARI-11Millat-11MeanAARI-11Millat-11AARI-11Millat-11AARI-11Millat-11AARI-11Millat-11Mean
CAT (μ mol min−1 mg protein−1) Irrigation water-regimesControl (CRI+T+B+H)8.20u9.11r.t10.89q9.558.75s.u8.91r.u9.42rs8.30u9.14f16.60lm9.03w18.42k10.31uv15.18no8.85wx16.62lm9.55vw13.07d
CRI+T+B13.60no8.66tu14.64m9.24r.t13.51no8.26u13.70n8.54tu11.27e10.95tu6.88yz13.99pq7.80xy11.63st6.15za12.42rs5.77a9.45e
CRI+B16.80l14.09mn20.25h16.72l19.28ij14.57m18.67jk14.73m16.89d19.15k12.34rs22.79hi14.82n.p21.79ij12.78r21.09j13.03qr17.22c
CRI+H21.61g17.12l23.69f19.92hi22.05g18.65jk22.07g18.04k20.39b24.79ef13.12qr26.80d14.94n.p25.69e14.89n.p25.66e15.38no20.16b
T+B27.17c21.36g33.69a24.81e26.61cd21.52g29.68b23.88f26.09a30.40c21.05j37.44a24.47fg29.60c21.20j33.00b23.54gh27.59a
T+H24.00f10.98q25.96d12.14p24.87e12.45p24.84e12.87op18.51c23.72f.h14.34op25.85de16.88l24.15fg15.67mn24.16fg15.21no20.00b
Mean18.56d13.55h21.52a15.40e19.18c14.06g19.73b14.39f20.94c12.79g24.21a14.87d21.34c13.26f22.16b13.75e
Mean16.06d18.46a16.62c17.06b16.86d19.54a17.30c17.95b
LSD 0.05p = W*F*V 0.7493, W 0.2649, F 0.2163, F*V 0.3059LSD 0.05p = W*F*V 1.0834, W 0.3830, F 0.3128, F*V 0.4423
AsA (m. mole g−1) Irrigation water-regimesControl (CRI+T+B+H)31.56t34.20s55.76p38.96r31.76t34.26s38.26r38.56r37.92f37.36z40.00y48.46v45.66w39.66y42.16x38.80yz38.53yz41.33e
CRI+T+B65.40ij55.76p69.46f57.40n65.56ij55.90op72.26b.d57.10no62.35e71.20m.o61.56rs76.16f.h64.10q73.46i.k63.80q72.80j.m57.66t67.59d
CRI+B71.33c.e58.70m71.60b.e65.20j71.26de58.90lm71.46c.e60.10l66.07b71.56mn64.70q79.26cd69.80o75.10g.i70.23no71.86k.n63.30qr70.72b
CRI+H67.56gh49.90q71.60b.e67.83g69.70f50.10q71.40c.e66.56hi64.33d73.36i.l55.70u78.30c.e74.53h.j77.60d.f58.00t71.93k.n67.06p69.56c
T+B76.33a70.50ef77.06a72.80b76.26a71.20de76.46a71.16de73.97a82.13b76.30fg83.76ab79.50c84.16a79.10cd77.00ef71.66l.n79.20a
T+H65.76ij58.90lm72.56bc63.10k67.20gh62.33k71.33c.e62.76k65.49c77.13ef64.50q78.30c.e71.90k.n79.16cd66.80p72.00k.m60.66s71.30b
Mean62.99d54.66h69.67a60.88e63.62c55.45g66.86b59.37f68.79c60.46f74.04a67.58d71.52b63.35e67.40d59.81f
Mean58.82d65.28a59.53c63.12b64.62c70.81a67.43b63.60d
LSD 0.05p = W*F*V 1.2371, W 0.4374, F 0.3571, F*V 0.5050LSD 0.05p = W*F*V 1.7452, W 0.6170, F 0.5038, F*V 0.7125
TPC (mg g−1) Irrigation water-regimesControl (CRI+T+B+H)1.80st1.29uv2.91l.n2.43o.q1.87rs1.40u2.73m.o2.15qr2.07d2.58k.p1.47qr3.02h.n2.32l.q2.01n.r1.29r2.84i.n2.04n.r2.20c
CRI+T+B1.50tu1.01v3.30i.k2.70m.o1.47tu0.98v2.98k.m2.35pq2.04d1.80o.r1.22r3.48e.k2.73j.o1.65p.r1.19r2.78j.o2.35l.q2.15c
CRI+B3.30i.k2.56op4.07de3.67fg3.43g.i2.98k.m3.79ef3.31h.k3.39c3.12h.l3.55d.k4.29c.g3.83d.i3.10h.m3.97c.h3.32f.l4.30b.f3.68b
CRI+H4.40cd3.64f.h4.45bc3.61f.i3.63f.i2.57n.p3.36g.j3.47f.i3.64b3.66d.j3.10h.m4.54a.d3.65d.j3.13h.l2.41l.q3.45e.k3.51d.k3.43b
T+B3.61f.i3.03j.m4.89a4.42c3.68fg3.08j.l4.80a4.22cd3.97a4.27c.g3.26g.l5.46a3.84d.i4.34b.f3.31f.l5.33ab4.45a.e4.28a
T+H4.43c2.91l.n4.78ab3.44g.i3.47f.i1.96rs4.84a3.31h.k3.64b3.71d.j3.04h.n4.89 a.c2.87i.n3.58d.k2.09m.r4.95a.c2.97h.n3.51b
Mean3.17d2.41f4.06a3.38c2.93e2.16g3.75b3.14d3.19c2.61de4.28a3.21c2.97cd2.38e3.78b3.27c
Mean2.79c3.72a2.54d3.44b2.90b3.74a2.67b3.53a
LSD 0.05p = W*F*V 0.3364, W 0.1189, F 0.0971, F*V 0.1373LSD 0.05p = W*F*V 1.0308, W 0.3644, F 0.2976, F*V 0.4208

Means not sharing the same letters in a group differ significantly at 5% probability level. W, Irrigation Water-regimes; F, Foliar agents; V, Wheat cultivars.

Influence of different foliar agents on total soluble protein (TSP), superoxide Dismutase (SOD) and peroxidase (POD) of wheat cultivars under various applied irrigation water-regimes during 2013-2014 (Year-I) and 2014-2015 (Year-II). Means not sharing the same letters in a group differ significantly at 5% probability level. W, Irrigation Water-regimes; F, Foliar agents; V, Wheat cultivars. Influence of different foliar agents on catalase (CAT), ascorbic acid (AsA) and total phenolic contents (TPC) of wheat cultivars under various applied irrigation water-regimes during 2013-2014 (Year-I) and 2014-2015 (Year-II). Means not sharing the same letters in a group differ significantly at 5% probability level. W, Irrigation Water-regimes; F, Foliar agents; V, Wheat cultivars.

Leaf chlorophyll contents

Chlorophyll contents “a” and “b” were found significantly higher, due to foliar application of MLE30 and BAP under applied irrigation regimes of control, T+ B and T+H stages in AARI-11 during the both years of study (Table 3). The results also illustrated that the chlorophyll contents “a” and “b” decreased in Millat-11 under all irrigation water-regimes but due to the foliar application of MLE30 and BAP, their levels were maintained (Table 3).
Table 3

Influence of different foliar agents on chlorophyll “.

Year-IYear-II
Foliar applicationH2O2MLEKClBAPH2O2MLE30KClBAP
Wheat cultivarsAARI-11Millat-11AARI-11Millat-11AARI-11Millat-11AARI-11Millat-11MeanAARI-11Millat-11AARI-11Millat-11AARI-11Millat-11AARI-11Millat-11Mean
Chlorophyll “a” (mg g−1) Irrigation water-regimesControl (CRI+T+B+H)1.07m.q0.85q.s2.53a2.15cd2.20b.d0.80q.s2.33a.c1.07m.q1.62a2.53a.c1.13n.r2.63ab2.03de1.76e.h1.73e.i2.27cd1.66g.j1.97a
CRI+T+B1.07m.q0.83q.s1.57g.k1.91d.f2.13cd0.89q.s2.12cd0.87q.s1.42bc1.57g.l0.95q.t1.68f.j1.66g.j1.18m.r0.88r.t1.42i.n0.93r.t1.28d
CRI+B0.91p.r1.00n.q1.47h.l1.46h.l1.19l.p1.55g.k1.39i.l1.69e.i1.33cd1.27l.q1.56g.l1.56g.l1.48h.m0.99o.s1.02o.s1.48h.m1.70f.j1.38cd
CRI+H0.39t1.20l.p0.61st2.45ab0.87q.s1.29k.n1.21l.o1.63f.j1.21e0.97p.s1.48h.m0.72s.u2.64ab0.49u1.39j.n1.32k.o1.82e.g1.35cd
T+B1.21l.o1.38j.l2.08cd1.35j.m1.97de0.79q.s1.72e.h1.31k.m1.48b2.41bc0.91r.t2.74a2.26cd1.29l.p0.97p.s2.54a.c1.19m.r1.79b
T+H0.40t0.98o.q2.35a.c1.44h.l1.42i.l0.64r.t1.78e.g0.89q.s1.24de1.64g.k0.75s.u2.57a.c1.55g.l0.62tu1.10n.r2.00d.f1.00o.s1.40c
Mean0.84e1.04d1.77a1.79a1.63b0.99d1.76a1.24c1.73c1.13e1.98a1.93ab1.05e1.18e1.84bc1.38d
Mean0.94d1.78a1.31c1.50b1.43c1.96a1.12d1.61b
LSD 0.05p = W*F*V 0.2950, W 0.1043, F 0.0852, F*V 0.1204LSD 0.05p = W*F*V 0.3309, W 0.1170, F 0.0955, F*V 0.1351
Chlorophyll “b” (mg g−1) Irrigation water-regimesControl (CRI+T+B+H)0.21q0.86c0.61u0.89b0.59x0.72k0.49e0.70n0.63a1.03b0.47st1.06a0.87f0.89e0.85fg0.87f0.75i0.85a
CRI+T+B0.60w0.52d0.72j0.70m0.52c0.61t0.48g0.56z0.59c0.72j0.61no0.84g0.79h0.64m0.70k0.60n.p0.65lm0.69b
CRI+B0.37l0.57y0.73i0.65q0.72l0.30n0.74f0.32m0.55d0.55q0.64lm0.91d0.72j0.90de0.37v0.76i0.39v0.65c
CRI+H0.46h0.20r0.80e0.60v0.61v0.45i0.65p0.44j0.53e0.47st0.21y0.62n0.61no0.51r0.46tu0.59op0.45u0.49e
T+B0.53b0.25p0.90a0.68o0.82d0.54a0.74h0.44k0.61b0.30w0.55q0.95c0.84g0.59p0.70k0.49s0.76i0.63d
T+H0.27o0.09s0.74g0.64s0.72j0.49f0.65r0.59x0.52f0.28x0.11z0.75i0.66l0.73j0.31w0.66lm0.21y0.46f
Mean0.41h0.41g0.75a0.69b0.66c0.52e0.62d0.51f0.56e0.43g0.85a0.75b0.71c0.56e0.66d0.53f
Mean0.41d0.72a0.59b0.57c0.49d0.80a0.64b0.60c
LSD 0.05p = W*F*V 0.173, W 0.164, F 0.422, F*V 0.0153LSD 0.05p = W*F*V 0.0193, W 0.1112, F 0.232, F*V 0.1209
K+ contents (mg g−1) Irrigation water-regimesControl (CRI+T+B+H)2.00d1.90e2.33a2.20b2.10c1.80f2.20b2.10c2.07a2.43c.g2.37c.i3.01a2.59b.d2.46c.g2.24e.l2.51c.e2.44c.g2.50a
CRI+T+B1.80f1.10m2.20b1.40j1.60h1.30k1.70g1.40j1.56c2.24e.l2.14g.o2.61b.d2.39c.h2.21e.n2.14f.o2.64bc2.33c.j2.34b
CRI+B0.60q0.60q1.10m1.00n0.80p0.80p0.90o0.90o0.83f1.57t.v1.50uv1.72q.v1.59s.v1.48uv1.39v1.58s.v1.50uv1.54f
CRI+H1.10m1.10m1.20l1.40j1.00n1.10m1.10m1.10m1.13e1.70r.v1.70r.v1.89m.t1.99j.r1.66r.v1.84o.t1.70r.v1.78p.u1.78e
T+B1.60h1.50i2.20b1.80f1.70g1.60h2.00d1.70g1.76b2.48c.f1.76p.u2.87ab2.07h.p2.28d.k1.97k.r2.22e.m2.05i.q2.21c
T+H1.30k1.20l1.40j1.30k1.20l1.10m1.30k1.20l1.25d1.95k.r1.81o.u2.08h.p1.91l.s1.87n.t1.71q.v1.96k.r1.96k.r1.91d
Mean1.40c1.23e1.73a1.51b1.40c1.28d1.53b1.40c2.06b1.88c2.36a2.09b1.99bc1.88c2.10b2.01bc
Mean1.31c1.62a1.34c1.46b1.97bc2.23a1.94c2.05b
LSD 0.05p = W*F*V 0.0969, W 0.0343, F 0.0280, F*V 0.0396LSD 0.05p = W*F*V 0.3404, W 0.1204, F 0.0983, F*V 0.1390

Means not sharing the same letters in a group differ significantly at 5% probability level. W, Irrigation Water-regimes; F, Foliar agents; V, Wheat cultivars.

Influence of different foliar agents on chlorophyll “. Means not sharing the same letters in a group differ significantly at 5% probability level. W, Irrigation Water-regimes; F, Foliar agents; V, Wheat cultivars.

Leaf K+ content

The MLE30 application increased leaf K+ content under imposed irrigation water-regimes, but the maximum leaf K+ content was observed in AARI-11 plants under the applied irrigation water-regimes of control, CRI+T+B and T+B respectively, in the both years. The least K+ contents were observed under the irrigation water-regimes applied at CRI+T, CRI+B, and CRI+H stages in both cultivars during the both years of trial (Table 3).

Yield and yield components

Foliar applications, irrigation water-regimes and wheat cultivars significantly affected the number of fertile tillers (Table 4). Results demonstrated that the application of MLE30 and BAP with irrigation water-regimes of CRI+T+B+H, CRI+T+B, and T+B resulted in the maximum fertile tillers in AARI-11 during the both growing years. The minimum number of fertile tillers was observed when irrigations were applied at CRI+B and T+H stages in both cultivars during the year-I but fertile tillers increased by the application of growth stimulators during the year-II, even though the irrigations were applied at CRI+B and T+H stages (Table 4). Results revealed that the number of grains per spike with the irrigation water-regimes at control, CRI+T+B and T+B stages were non-significant in both cultivars. Among the foliar sprays, performance of MLE30 was better than BAP, KCl, and H2O and produced the maximum number of grains per spike in both cultivars under all irrigation water-regimes (Table 4). Foliar growth agents under the applied irrigations at CRI+T+B+H, T+B, T+H critical growth stages in the studied wheat cultivars significantly affected yield components (Table 5). The results depicted that 1000-grain weight in AARI-11 was the maximum under the applied irrigation water-regimes of control, followed by T+B and T+H especially by MLE30 treatment during the both years of study. Yield parameters i.e. grain yield, biological yield and harvest index clearly demonstrated significant results among the wheat cultivars grown under various irrigation water-regimes (Table 5). Among the growth stimulators, MLE30 and BAP applied to AARI-11, resulted in the maximum grain yield and harvest index when the irrigations were applied at CRI+T+B+H, CRI+T+B, and T+B stages during the both years. Harvest index of wheat cultivars during the both years of trial at the applied irrigation water-regimes of control and T+B was the maximum due to the application of MLE30 (Table 5).
Table 4

Influence of different foliar agents on fertile tillers (m.

Year-IYear-II
Foliar applicationH2O2MLEKClBAPH2O2MLE30KClBAP
Wheat cultivarsAARI-11Millat-11AARI-11Millat-11AARI-11Millat-11AARI-11Millat-11MeanAARI-11Millat-11AARI-11Millat-11AARI-11Millat-11AARI-11Millat-11Mean
Fertile tillers (m−2) Irrigation water-regimesControl (CRI+T+B+H)300f.h342a.c348ab351a309e.g336a.c343a.c330b.d332a270g.j332a.e352a355a290f.i323a.f335a.d336a.d324a
CRI+T+B330b.d312d.f342a.c333a.c334a.c297f.h342a.c308e.g325b312c.f305d.g331a.e337a.d337a.d268ij348ab314b.f319a
CRI+B289gh290gh302f.h287h295f.h301f.h295f.h292gh294c324a.f241j.l344a.c242j.l322a.f232k.m329a.e253jk286b
CRI+H202j.l209j240i196j.l201j.l201j.l200j.l197j.l206d204m.p211l.o224k.n200m.p204m.p199m.p206m.p203m.p206c
T+B339a.c239i340a.c238i329b.d248i323c.e247i288c291f.i292f.i306d.f291f.i298e.i304d.h270h.j297e.i293b
T+H188kl184l205jk188kl191j.l187kl188kl184l189e190n.q186o.q209l.p193n.q193n.q174pq194n.q159q187d
Mean275b263c296a265c276b261c282b259c265c261cd294a269bc274bc250d280ab260cd
Mean269b281a269b271b263b282a262b270b
LSD 0.05p = W*F*V 20.179, W 7.1343, F 5.8251, F*V 8.2379LSD 0.05p = W*F*V 35.170, W 12.434, F 10.153, F*V 14.358
Grain spike−1 Irrigation water-regimesControl (CRI+T+B+H)36v37t50a45d41k37t46c40n41b42kl43jk55a51bc47fg43jk47f.h45g.i46b
CRI+T+B42g36v47b45d44e37t46c40n42a48ef41lm52b50cd49de42kl51bc45hi47a
CRI+B34z39o46c42hi38qr42hi42hi39o40c44ij39no48ef48ef45hi41lm46gh43jk44d
CRI+H31b39p42g41k36w40m42i41l39d37p44ij48ef47fg41lm46gh47fg46gh44d
T+B38q34a42f42h40n35x41k38r39e39no44ij51bc47fg43jk47fg47fg44ij45c
T+H37u37s42f39o35y37t42j38p38f38op41l.n47fg41lm39no40m.o46gh41k.m41e
Mean36h37g45a42c39e38f43b39d41e42e50a47b44c43d47b44c
Mean37d44a38c41b42d49a43c46b
LSD 0.05p = W*F*V 0.1351, W 0.0478, F 0.0390, F*V 0.0552LSD 0.05p = W*F*V 1.7024, W 0.6019, F 0.4914, F*V 0.6950
1000-Grain weight (g) Irrigation water-regimesControl (CRI+T+B+H)37.30l37.86j51.60a43.20c40.40f37.50k43.00d39.70g41.32a39.16j39.76h48.76a41.06d41.66c38.76k44.36b40.36g41.74a
CRI+T+B33.06v35.66p43.76b37.16m35.56q35.06r35.96o36.26n36.56b29.86I30.66F34.46u36.56q33.86x29.26J30.56G35.40s32.58c
CRI+B31.36b30.46d32.76x34.36s29.76f30.76c31.46a32.46z31.67d33.26Z32.36B32.80A33.80y31.00E32.00C29.90I31.50D32.07d
CRI+H23.80o24.80m30.16e32.90w26.26k24.80m27.16j26.30k27.02f25.66q26.66O28.50K30.06H27.50M26.06P27.30N27.66L27.42f
T+B28.00i28.76g33.40u39.46h32.60y28.06h33.10v34.06t32.18c34.96t37.56n40.90e37.66M36.80p36.30r37.36o34.30w36.98b
T+H32.46z23.66p42.46e24.96l37.16m22.16q39.36i24.26n30.81e34.36v25.56r40.70f25.66Q38.36l23.40S39.56i22.10T31.21e
Mean31.00f30.20g39.02a35.34b33.62d29.72h35.01c32.17e32.88e32.10f37.68a34.13d34.86b30.96h34.84c31.88g
Mean30.60d37.18a31.67c33.59b32.49d35.91a32.91c33.36b
LSD 0.05p = W*F*V 0.0446, W 0.0158, F 0.0129, F*V 0.0182LSD 0.05p = W*F*V 0.0452, W 0.0160, F 0.0131, F*V 0.0185

Means not sharing the same letters in a group differ significantly at 5% probability level. W, Irrigation Water-regimes; F, Foliar agents; V, Wheat cultivars.

Table 5

Influence of different Foliar agents on grain yield (t/ha), biological yield (t/ha) and harvest index (%) of wheat cultivars under applied irrigation water-regimes during 2013-2014 (Year-I) and 2014-2015 (Year-II).

Year-IYear-II
Foliar applicationH2O2MLEKClBAPH2O2MLE30KClBAP
Wheat cultivarsAARI-11Millat-11AARI-11Millat-11AARI-11Millat-11AARI-11Millat-11MeanAARI-11Millat-11AARI-11Millat-11AARI-11Millat-11AARI-11Millat-11Mean
Grain yield (t/ha) Irrigation water-regimesControl (CRI+T+B+H)4.55h.l4.07n.p5.65a4.41j.n4.86e.h4.29k.o4.92d.g4.31j.o4.63a4.88f.k4.25p.r5.84a5.40bc4.88f.k4.38n.r5.37b.d5.28b.e5.04a
CRI+T+B4.38j.n2.08v5.47ab4.62g.k5.22b.d3.14tu5.28bc4.18m.p4.29c4.55k.q5.18c.f5.19c.f4.41m.r4.56k.q4.90f.k5.00e.i5.37b.d4.89b
CRI+B4.48j.m2.20v4.97c.f3.93pq4.50i.m2.94u4.58g.k3.88p.r3.93e4.68h.n4.61j.p5.40bc5.11c.g4.63i.o3.42u4.95e.j4.08rs4.61c
CRI+H4.40j.n3.14tu5.17b.e4.62f.k3.41st4.20m.p4.65f.j4.57g.k4.27c4.51l.q4.41m.r4.76g.m4.85f.l4.41m.r3.67tu4.58k.q4.58k.q4.47d
T+B4.59g.k3.43st5.25b.d4.44j.m5.09c.e3.55rs5.10c.e4.32j.o4.47b4.68h.n4.11rs5.63ab5.40bc4.41m.r4.38n.r5.12c.g5.37b.d4.89b
T+H4.01o.q3.69q.s4.83e.i4.46j.m4.21l.p3.44st4.34j.o4.01o.q4.12d4.21qr4.27o.r5.03d.h5.17c.f3.79st4.78g.l5.06c.g4.60j.p4.61c
Mean4.40d3.10g5.22a4.41cd4.55c3.59f4.81b4.21e4.59d4.47d5.31a5.06b4.45d4.26e5.01bc4.88c4.59d
Mean3.75d4.82a4.07c4.51b4.53c5.18a4.35d4.94b
LSD 0.05p = W*F*V 0.3470, W 0.1227, F 0.1002, F*V 0.1416LSD 0.05p = W*F*V 0.3659, W 0.1294, F 0.1056, F*V 0.1494
Biological yield (t/ha) Irrigation water-regimesControl (CRI+T+B+H)12.03f9.93s13.33a11.33i12.83d9.33x12.96c10.66n11.55a13.42b.d11.69g.m14.47a12.14f.i13.30b.e11.81g.k13.83ab10.84l.r12.69a
CRI+T+B11.16j7.96E11.66g10.03r11.13j8.53C11.36i9.16z10.12d12.60d.g10.19q.v13.58a.c11.77g.l12.77c.f11.82g.k12.80c.f11.41h.o12.12b
CRI+B10.20q8.86A11.66g11.13j11.60h9.13z11.16j9.73u10.43c9.91s.v8.27w12.80c.f10.93k.r10.79m.s9.80t.v11.17j.p10.40p.u10.51e
CRI+H9.80t7.63G10.16q10.06r9.83t7.83F9.90s8.76B9.25f11.51h.m10.10r.v13.40b.d11.43h.n11.36i.o10.48o.t10.56n.t11.16j.p11.25cd
T+B10.73m8.03D13.03b11.16j11.03k9.13z12.46e9.63v10.65b11.07j.q10.19q.v13.81ab11.89f.j12.11f.i10.54n.t12.21f.i10.79m.s11.57c
T+H10.33p7.63G10.96l9.46w10.43o8.86A10.73m9.23y9.70e10.90k.r9.47uv13.54bc12.33f.h11.36i.o9.45v12.45e.g10.15q.v11.21d
Mean10.71d8.34h11.80a10.53e11.14c8.80g11.43b9.53f11.57c9.98e13.60a11.75c11.95bc10.65d12.17b10.79d
Mean9.52d11.16a9.97c10.48b10.78c12.67a11.30b11.48b
LSD 0.05p = W*F*V 0.0500, W 0.0177, F 0.0144, F*V 0.0204LSD 0.05p = W*F*V 0.9298, W 0.3287, F 0.2684, F*V 0.3796
Harvest index (%) Irrigation water-regimesControl (CRI+T+B+H)37.11f.m40.51a.g41.93a41.78ab33.17n.s40.62a.f41.00a.e37.84c.l39.24a41.55a.e33.67n.p45.11ab40.06c.j42.02a.d33.75n.p41.86a.d37.41f.n39.43a
CRI+T+B34.69l.r39.05a.j38.08b.l31.90p.s34.86k.q39.75a.h37.46d.m41.22a.d37.13b38.44d.m31.14op44.08a.c40.50c.i30.15pq40.13c.j38.65d.m40.99c.f38.01ab
CRI+B39.89a.h32.87o.s41.53a.c35.53j.p35.81i.o27.77t39.62a.i31.58q.t35.57c34.17n.p34.80m.o39.05d.l39.78d.k36.54h.n36.32j.n35.52l.n36.34j.n36.56b
CRI+H37.71d.m29.72st38.58a.k34.42l.r36.78g.n30.92r.t37.90c.l33.24n.s34.91c34.79m.o20.47r41.09b.f39.29d.l39.29d.l26.60q40.61c.h36.68g.n34.85c
T+B35.64j.p37.23e.m39.64a.h38.06b.l36.29h.o36.15h.o37.54d.m36.40h.o37.12b40.78c.g26.89q45.20a36.07j.n41.92a.d30.16pq41.00b.f37.38f.n37.42b
T+H36.98f.n32.67o.s40.25a.g37.59d.m34.81k.q33.93m.r38.02b.l35.17k.q36.18bc36.81g.n34.82m.o39.18d.l36.20j.n37.43f.n36.45i.n35.68k.n37.51f.n36.76b
Mean37.00b35.34cd40.00a36.55bc35.28cd34.86d38.59a35.91b.d37.76b30.30d42.28a38.65b37.89b33.90c38.89b37.71b
Mean36.17bc38.27a35.07c37.25ab34.03d40.47a35.90c38.30b
LSD 0.05p = W*F*V 3.8185, W 1.3500, F 1.1023, F*V 1.5589LSD 0.05p = W*F*V 4.1122, W 1.4539, F 1.1871, F*V 1.6788

Means not sharing the same letters in a group differ significantly at 5% probability level. W, Irrigation Water-regimes; F, Foliar agents; V, Wheat cultivars.

Influence of different foliar agents on fertile tillers (m. Means not sharing the same letters in a group differ significantly at 5% probability level. W, Irrigation Water-regimes; F, Foliar agents; V, Wheat cultivars. Influence of different Foliar agents on grain yield (t/ha), biological yield (t/ha) and harvest index (%) of wheat cultivars under applied irrigation water-regimes during 2013-2014 (Year-I) and 2014-2015 (Year-II). Means not sharing the same letters in a group differ significantly at 5% probability level. W, Irrigation Water-regimes; F, Foliar agents; V, Wheat cultivars.

Benefit cost ratio

Economic analysis showed that the MLE30 foliar application was comparatively the most cost effective technology to obtain the maximum benefit cost ratio (BCR) with irrigation water-regimes of CRI+T and T+B after control (Table 6).
Table 6

Economic analysis (average of both cultivars) for the impact of foliar spray under various irrigation water-regimes at the critical growth stages of wheat.

TreatmentTotal expenditure (US$ ha−1)Gross income (US$ ha−1)Net income (US$ ha−1)Benefit cost ratio
2013-142014-152013-142014-152013-142014-152013-142014-15
H2O foliar sprayControl629.27629.271282.331046.57653.06417.292.041.66
CRI+T+B615.64615.641129.781124.85514.14509.211.841.83
CRI+B602.00602.00989.42928.70387.42326.701.641.54
CRI+H602.00602.00891.711074.46289.71472.461.481.78
T+B602.00602.00886.561075.68284.56473.681.471.79
T+H602.00602.001033.091038.68431.09436.681.721.73
MLE30 foliar sprayControl633.55606.55997.951367.99391.40761.451.652.26
CRI+T+B620.18620.181183.971282.92563.78662.741.912.07
CRI+B606.55606.55995.791006.53389.24399.981.641.66
CRI+H606.82633.821479.731311.78845.92677.962.332.07
T+B606.55606.551172.011266.43565.46659.881.932.09
T+H606.55606.551019.571249.79413.02643.251.682.06
KCl foliar sprayControl642.91642.911219.561160.59576.65517.681.901.81
CRI+T+B629.27629.27969.191160.91339.92531.641.541.84
CRI+B615.64615.641048.31903.26432.67287.621.701.47
CRI+H615.64615.64731.441036.67115.81421.031.191.68
T+B615.64615.64793.321038.09177.68422.451.291.69
T+H615.64615.64930.641171.35315.00555.721.511.90
BAP foliar sprayControl670.18670.181445.621018.51775.44348.332.161.52
CRI+T+B656.55656.551130.941297.51474.40640.961.721.98
CRI+B642.91642.911025.59940.16382.68297.251.601.46
CRI+H642.91642.91892.51981.87249.61338.961.391.53
T+B642.91642.91977.001253.91334.09611.001.521.95
T+H642.91642.911041.611300.17398.70657.261.622.02
Economic analysis (average of both cultivars) for the impact of foliar spray under various irrigation water-regimes at the critical growth stages of wheat.

Discussion

Oxidative stress under water deficit conditions is characterized as an imbalance between production of ROS and quenching activity of antioxidant system which possesses a serious threat to plant cellular membranes and other cellular organelles like proteins, DNA, etc. (White et al., 1993). The ability of plant to scavenge toxic/active ionic forms of oxygen radicles has seemed to be an important consideration of its tolerance to environmental stresses including water deficit stress. Plant antioxidants defense system including enzymatic (SOD, CAT, POD) and non-enzymatic (AsA, TPC) ones has been proved a possible protective measure against oxidative damages by inhibiting release of ROS (Mittler, 2002). The present study demonstrated that increased contents of antioxidants (enzymatic and non-enzymatic) by foliar application of growth enhancers especially MLE30 and BAP at various sensitive growth stages of wheat cultivars under water deficit conditions, is the most effective strategy. Exogenous applications of MLE30, BAP, KCl and H2O to AARI-11 plants helped in ameliorating the water stress effects during the water deficit conditions and motivated the enzymatic antioxidants defense system to maintain its ionic homeostasis status. The maximum release of SOD, POD, CAT enzymatic contents due to the application of MLE30 and BAP probably has the ability to mitigate the effect of water stress during the applied irrigation water-regimes at T+B and T+H stages of AARI-11 plants (Farooq et al., 2009). On the other hand, non-enzymatic antioxidants (AsA) played crucial role in scavenging ROS and triggering the antioxidant defensive system against water deficit stress in wheat plants. The foliar application with MLE30 and BAP enhanced the production of AsA which increased the plant tolerance and improved photosynthetic activity in AARI-11 cultivar under irrigation water-regimes at T+B and T+H stages (Hanaa et al., 2008). The foliar application of MLE30 played an important role in protective measures against oxidative damage stress in wheat cultivar AARI-11 and enhanced the activities of TPC under irrigation water-regimes of T+B and T+H during the both years. The ability of MLE30 foliar agent to initiate the positive release of antioxidants is due to the presence of zeatin in it, which reduced the water stress and also promoted leaf chlorophyll contents “a” and “b” that has a vital role in photosynthesis process (Foidle et al., 2001). Crop yield is based on chlorophyll contents and photosynthesis rate during the normal environmental conditions. The present study described that increased chlorophyll contents “a” and “b” in AARI-11 plants were due to their larger leaf area, and exogenous application of growth enhancer facilitated the photosynthetic rate under water deficit conditions especially at irrigation water-regimes of T+B after control and CRI+T+B stages, respectively (Ali et al., 2011). Similarly, Yasmeen et al. (2013) reported significance of MLE30 as moringa leaves contain a heavy amount of mineral contents including K+ which is an excellent plant growth enhancer/regulator. Leaf K+ content in AARI-11 plants with the application of MLE30 and BAP attributed direct increase in the K+ content which ultimately enhanced the uptake of K+ during the stomatal conductance (Cakmak, 2005). Wheat yield depends on numbers of fertile/productive tillers and grain weight at harvest. The maximum production of fertile tiller in AARI-11 was due to its greater tolerance against water deficit stress and in addition to foliar application, of MLE30 and BAP at tillering and heading stages which resulted in increased number of grains per spike and 1000-grain weight under control, followed by T+H and T+B irrigation water-regimes (Baque et al., 2006). Biological yield was significantly prominent in AARI-11 plants. It might be possible that the foliar application of MLE30 and BAP at heading stage mitigated the water scarcity impact in wheat which increased grain yield not only in control, but also in T+B and T+H irrigation water-regimes (Yasmeen et al., 2012). Tillering and heading are the most important stages for the foliar application of growth regulators. At the tillering stage, MLE30 promoted the booting and similarly at the heading stages enhanced the grain filling and milking which led to increased biological yield and grain yield (Farooq et al., 2014). The foliar application also increased the harvest index (HI) during the both years, but MLE30 growth stimulator gave the maximum HI possibly due to its role in dry matter accumulation under various irrigation water-regimes i.e. control, CRI+T+B, T+B, and T+H, respectively, (Madani et al., 2010). Economic analysis illustrated that foliar application of MLE30 was a cost effective strategy for an increased benefit cost ratio of wheat.

Conclusion

The foliar application of naturally occurring MLE30 growth enhancer at the tillering and heading stages of wheat cv. AARI-11 ameliorated the water deficit stress by enhancing the antioxidants contents to protect it against oxidative damage which modulated yield related components under irrigation water-regimes at T+B and T+H over control (CRI+T+B+H).

Future research needs

Mechanism of photosynthetic product distribution and assimilation needs to be investigated after MLE application.

Author contributions

NH Supervisor Helped in supervised the research project and guide in conducting the research in the Field. HN student, performed all the activities during the research including research planning, lab analysis, write up. AY Co-supervisor, helped in lab analysis and data analysis. MA Help in review the article and guide in improving the article.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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