| Literature DB >> 34644343 |
Faisal Hafeez1, Muneer Abbas2, Khuram Zia3, Shahbaz Ali4, Muhammad Farooq1, Muhammad Arshad5, Ayesha Iftikhar1, Muhammad Jawad Saleem1, Ali Tan Kee Zuan6, Yunzhou Li7, Omaima Nasif8, Sulaiman Ali Alharbi9, Milton Wainwright10, Mohammad Javed Ansari11.
Abstract
Wheat (Triticum aestivum L.) production is significantly altered by the infestation of sucking insects, particularly aphids. Chemical sprays are not recommended for the management of aphids as wheat grains are consumed soon after crop harvests. Therefore, determining the susceptibility of different wheat genotypes and selecting the most tolerant genotype could significantly lower aphid infestation. This study evaluated the susceptibility of six different wheat genotypes ('Sehar-2006', 'Shafaq-2006', 'Faisalabad-2008', 'Lasani-2008', 'Millat-2011' and 'Punjab-2011') to three aphid species (Rhopalosiphum padi Linnaeus, Schizaphis graminum Rondani, Sitobion avenae Fabricius) at various growth stages. Seed dressing with insecticides and plant extracts were also evaluated for their efficacy to reduce the incidence of these aphid species. Afterwards, an economic analysis was performed to compute cost-benefit ratio and assess the economic feasibility for the use of insecticides and plant extracts. Aphids' infestation was recorded from the seedling stage and their population gradually increased as growth progressed towards tillering, stem elongation, heading, dough and ripening stages. The most susceptible growth stage was heading with 21.89 aphids/tiller followed by stem elongation (14.89 aphids/tiller) and dough stage (13.56 aphids/tiller). The genotype 'Punjab-2011' recorded the lower aphid infestation than 'Faisalabad-2008', 'Sehar-2006', 'Lasani-2008' and 'Shafaq-2006'. Rhopalosiphum padi appeared during mid-February, whereas S. graminum and S. avenae appeared during first week of March. Significant differences were recorded for losses in number of grains/spike and 1000-grain weight among tested wheat genotypes. The aphid population had non-significant correlation with yield-related traits. Hicap proved the most effective for the management of aphid species followed by Hombre and Husk among tested seed dressers, while Citrullus colocynthis L. and Moringa oleifera Lam. plant extracts exhibited the highest efficacy among different plant extracts used in the study. Economic analysis depicted that use of Hombre and Hicap resulted in the highest income and benefit cost ratio. Therefore, use of genotype Punjab-2011' and seed dressing with Hombre and Hicap can be successfully used to lower aphid infestation and get higher economic returns for wheat crop.Entities:
Mesh:
Year: 2021 PMID: 34644343 PMCID: PMC8513891 DOI: 10.1371/journal.pone.0257952
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Incidence of aphid species on different wheat genotypes used in the current study (n = 150).
| Genotypes | 2016 | 2017 | ||||||
|---|---|---|---|---|---|---|---|---|
| Total | Total | |||||||
|
| 7.03±0.64 cd | 2.21±0.47 bc | 0.7±0.092 b | 09.94 | 8.23±0.94 b | 2.27±0.32 b | 1.10±0.19 bc | 11.60 |
|
| 7.29±0.58 c | 1.69±0.26 de | 1.09±0.28 ab | 10.07 | 7.98±0.82 bc | 3.69±0.45 a | 1.29±0.09 b | 12.96 |
|
| 6.59±0.42 bc | 3.53±0.59 a | 0.52±0.05 c | 10.64 | 7.89±0.43 c | 2.13±0.74 bc | 0.92±0.04 c | 10.94 |
|
| 7.62±0.57 b | 1.75±0.43 d | 1.16±0.07 a | 10.53 | 9.72±1.23 a | 1.65±0.83 | 0.86±0.05 cd | 12.23 |
|
| 8.01±0.49 a | 2.41±0.41 b | 0.77±0.35 b | 11.19 | 7.41±0.56 d | 2.27±0.48 b | 1.97±0.07 a | 11.65 |
|
| 6.65±0.34 e | 2.07±0.38 c | 0.45±0.02 cd | 09.17 | 6.85±0.23 e | 1.97±0.56 c | 0.65±0.05 d | 09.47 |
Means followed by different letters are statistically different from each other at 5% probability level.
Fig 1Aphid infestation at different growth stages of wheat crop (n = 1800).
Fig 2Dominance of different wheat aphid species with time (n = 1800).
The assessment of losses caused by different aphid species in yield related traits of wheat crop (n = 300).
| S. # | Parameters Premeditated | Treatments | T-value | Lower CI | Upper CI | P-value | |
|---|---|---|---|---|---|---|---|
|
|
| AFA | 20.17±3.54 | 4.85 | 0.087 | 1.472 | 0.040 |
| AIA | 19.39±1.61 | ||||||
|
|
| AFA | 14.62±2.76 | 4.58 | 0.029 | 0.950 | 0.044 |
| AIA | 14.13±1.23 | ||||||
|
|
| AFA | 53.29±4.89 | 20.28 | 3.143 | 4.834 | 0.002 |
| AIA | 49.30±3.85 | ||||||
|
|
| AFA | 04.35±1.78 | -22.17 | -2.459 | -1.660 | 0.002 |
| AIA | 06.41±0.94 | ||||||
|
|
| AFA | 41.33±2.98 | 19.20 | 2.397 | 3.782 | 0.002 |
| AIA | 38.24±2.73 | ||||||
AFA: Aphid free area, AIA: Aphid infested area, CI: Confidence interval.
Correlation analysis of abiotic factors with aphid population in different wheat varieties.
| Varieties | 2016 | 2017 | ||||||
|---|---|---|---|---|---|---|---|---|
| T (max.) (ºC) | T (min.) (ºC) | RH (%) | RF (mm) | T (max.) (ºC) | T (min.) (ºC) | RH (%) | RF (mm) | |
|
| -0.1088 | 0.3982 | 0.2384 | 0.3759 | -0.1165 | 0.4058 | 0.2273 | 0.3510 |
|
| -0.1006 | 0.4088 | 0.2328 | 0.3788 | -0.1141 | 0.4073 | 0.2360 | 0.3595 |
|
| -0.1018 | 0.4064 | 0.2340 | 0.3811 | -0.1174 | 0.4085 | 0.2432 | 0.3642 |
|
| -0.1003 | 0.4087 | 0.2334 | 0.3805 | -0.1150 | 0.4119 | 0.2472 | 0.3664 |
|
| -0.1013 | 0.3929 | 0.2322 | 0.3674 | -0.1182 | 0.4030 | 0.2323 | 0.3563 |
|
| -0.1015 | 0.4112 | 0.2341 | 0.3828 | -0.1076 | 0.4218 | 0.2411 | 0.3688 |
T max.) = maximum temperature, T (min.) = minimum temperature, RH = relative humidity, RF = rainfall.
Correlation analysis of aphid population with yield related components in aphid free and aphid infested areas.
| Yield-related traits | Aphid population | |
|---|---|---|
| Aphid-free area | Aphid-infested area | |
| Number of spikelets per spike | -0.0215 | 0.0507 |
| Length of spike (cm) | 0.6644 | 0.2728 |
| Number of grains per spike | 0.6716 | -0.4971 |
| Damaged grains per spike (%) | -0.5326 | 0.4801 |
| 1000-grain weight (g) | -0.4728 | 0.1434 |
Economic analysis of different protection measures adapted to manage different aphid species in wheat crop during 2016 and 2017.
| Treatment | Aphid Reduction (%) | Yield (kg/hectare) | Net Profit ($/hectare) | BCR | |
|---|---|---|---|---|---|
|
| Hicap 70 WS | 70.58 (68.65) | 5479.28 (5329.27) | 664.49 (652.41) | 8.84 (8.67) |
| Hicap 70 WS | 75.36 (73.17) | 5637.02 (5473.52) | 773.33 (751.94) | 5.14 (4.99) | |
| Hombre 372.5 FS | 66.94 (65.12) | 5412.87 (5265.05) | 618.66 (608.09) | 8.68 (8.53) | |
| Hombre 372.5 FS | 84.59 (82.07) | 5774.83 (5602.95) | 868.42 (841.24) | 6.09 (5.9) | |
| Confidor 70 WS | 66.94 (65.02) | 5412.87 (5257.15) | 618.66 (602.64) | 5.75 (5.6) | |
| Confidor 70 WS | 64.52 (62.67) | 5296.64 (5144.52) | 538.46 (524.92) | 2.50 (2.44) | |
| Actara 75 WG | 80.74 (78.07) | 5695.13 (5506.12) | 813.42 (774.43) | 3.06 (2.91) | |
| Actara 75 WG | 87.96 (85.80) | 5811.36 (5668.15) | 893.62 (886.24) | 2.24 (2.22) | |
| Husk 372.5 FS | 62.59 (60.87) | 5130.60 (4989.4) | 423.90 (417.89) | 7.26 (7.16) | |
| Husk 372.5 FS | 72.48 (70.27) | 5562.30 (5392.5) | 721.77 (696.04) | 6.18 (5.96) | |
|
| Tumma ( | 61.37 (59.33) | 5112.34 (4941.98) | 411.29 (385.17) | 7.74 (7.24) |
| Neem ( | 36.14 (34.89) | 4937.99 (4766.11) | 291.00 (263.83) | 5.61 (5.09) | |
| Ak ( | 28.83 (27.83) | 4841.69 (4674.23) | 224.55 (200.43) | 4.44 (3.96) | |
| Citrus ( | 34.60 (33.45) | 4949.62 (4784.88) | 299.02 (276.78) | 5.49 (5.08) | |
| Bakain ( | 28.63 (27.67) | 4791.88 (4630.75) | 190.18 (170.43) | 3.58 (3.21) | |
| Castor ( | 27.89 (27.02) | 4737.09 (4589.26) | 152.37 (141.8) | 3.01 (2.8) | |
| Dhatura ( | 31.07 (30.14) | 4914.75 (4766.11) | 274.96 (263.83) | 5.30 (5.09) | |
| Moringa ( | 54.92 (53.43) | 5029.32 (4892.58) | 354.01 (351.09) | 6.50 (6.45) | |
| Eucalyptus ( | 17.09 (16.59) | 4718.83 (4580.37) | 139.77 (135.66) | 2.76 (2.68) | |
| Control | 4055.71 (4041.13) | ||||
Price of wheat $ 0.31/- per kg, values in the parenthesis are for 2017.