Literature DB >> 34143846

Phenotypic characterization of exotic tomato germplasm: An excellent breeding resource.

Zeshan Hassan¹, Sami Ul-Allah¹, Azhar Abbas Khan¹, Umbreen Shahzad¹, Muhammad Khurshid², Ali Bakhsh³, Huma Amin⁴, Muhammad Shah Jahan¹, Abdul Rehim⁵, Zahid Manzoor⁶.

Abstract

Tomato production in Pakistan faces significant problems of low yields due to various biotic and abiotic stresses primarily because of a narrow genetic base of the cultivars being used. Therefore, Introduction and evaluation of the exotic tomato germplasm has become necessary to acquire elite material to develop future breeding programs. To this end, the present study was conducted for the phenotypic characterization of twenty exotic tomato genotypes along with two locally grown cultivars in semi-arid subtropical climate. Data were collected for morphological, fruit quality and fruit yield traits. A significant (p<0.05) phenotypic variation was observed for all the studied traits. Maximum yield was obtained from "Rober" i.e., 1508.31 g per plant. The maximum shelf life was observed in the Cromco, with the least weight loss (2.45%) and loss in the firmness of fruit (22.61%) in 4 days. Correlation analyses revealed a strong genetic association among morphological and yield related traits. High estimates of the heritability (ranged from 79.77% to 95.01% for different traits), along with a high genetic advance (up to 34%) showed the potential usefulness of these traits and genotypes to develop breeding programs to improve the tomato yield and fruit quality.

Entities: Chemical

Mesh：

Year: 2021 PMID： 34143846 PMCID： PMC8213146 DOI： 10.1371/journal.pone.0253557

Source DB: PubMed Journal: PLoS One ISSN： 1932-6203 Impact factor: 3.752

Introduction

Tomato (Solanum lycopersicum L.) belongs to the family Solanaceae, and is an important horticultural crop grown worldwide for its human consumption. It is being used globally due to its higher nutritional value and taste [1]. China is the leading producer of tomato, while Pakistan accounts for the first 30 countries due to its lower production rate [1]. S. lycopersicum is the second most-consumed vegetable crop of Pakistan after potato [2, 3] It is cultivated all over this country due to its adaptability to wide range of climate and soil [4]. Naturally, it is a perennial plant, but it is cultivated annually in Pakistan due to its higher economic and commercial advantages [1]. Tomato is the principal source of lycopene in human diet [5] which give protection against heart problems and skin cancer [6]. It had been found to be a significant potent antioxidant with a quenching rate constant on singlet oxygen, almost twice as high as that of the β-carotene. Tomato is considered as the most crucial vegetable crop for genetic studies due to broad genetic base and high genotypic and phenotypic diversity [5]. The genetic diversity of cultivated tomato is lower than wild species S.olanum pimpinellifolium and S. cerasiforme., but its phenotypic diversity is higher than Solanum pimpinellifolium [7]. Studies have demonstrated that the first highly autogamous cultivated tomato was domesticated in Mexico from Solanum pimpinellifolium and Solanum cerasiforme in 15th century [8, 9]. The genome of cultivated tomato is closely related to its wild relatives, and it is due to polymorphism in wild types [10-12]. The introduction of new tomato genotypes having higher yields have been an important source for human consumption and for the development of various industrial products throughout the world. The genetic variation and nature of tomato are the prerequisites for improving its quality and yield parameters. Yield is one of the complex traits which attributed to the many associated plant traits. Plant breeders focus on heritability and genetic advance of the qualitative and quantitative traits for their selections [13, 14]. It is well reported that various traits are associated with one another and also linked with economic characteristics [15, 16]. In addition to the correlation, association of the traits is also affected by the related traits which is explored by the path analyses. For example, it is reported that weight of single fruit had a direct positive effect on yield per plant and is also influenced by other traits indirectly [17]. Along with phenotypic associations, the extent of heritability with genetic advance is also essential for the crop improvement [18, 19]. In Pakistan, two types of cultivars are common i.e., pure genotypes (local) and hybrids (mostly imported) where former are mostly grown in open field and later are grown in plastic tunnels. Pure genotypes are prone to diseases and insect pest and have lowered yield while imported hybrids have higher yields but are very expensive for the low-income farmers of Pakistan. Therefore, it is a dire need to evaluate new exotic germplasm for its direct introduction or to be used in the tomato breeding programs to widen the genetic base of existing germplasm for the development of new high yielding cultivars and hybrids. Phenotypic evaluation of a crop is the first step to select the best traits for the breeding purposes. Therefore, major objective of the current study was phenotypic characterization of exotic germplasm for yield and related traits and to evaluate its breeding potential. The results of this study will facilitate the tomato breeders to harvest full potential of the described exotic germplasm and to design a suitable breeding program for the development of high yielding tomato cultivars.

Materials and methods

Experimental site and germplasm

The current study was carried out in the research area of Bahaudin Zakariya University, Bahadur Sub Campus Layyah, Pakistan located at latitude 30.960 N and longitude 70.940 E and climate of the region is characterized with semi-arid sub-tropical. The germplasm comprised of twenty exotic genotypes received from The Centre for Genetic Resources (CGN)", The Netherlands and two locally grown cultivars. Genotypes were selected based on fruit size and yield as per preliminary information provided by the Gene bank. The germplasm included these genotypes i.e., Moneymaker (check) (The Netherlands), Cromco (The Netherlands), Robar (The Netherlands), Nunhem’s Tuckqueen (The Netherlands), Tres Cantos Fito (Spain), Muchamiel (Spain), Dwarf Moneymaker (India), Fortuna (The Netherlands), F4T5 (ISL) (The Netherlands), Balady (Lebanon), Allround (The Netherlands), Floradel (USA), West Virginia 63 (USA), Centennial (USA), M.O.G. 10 (The Netherlands), Pusa Ruby (India), Ontario 7716 (Canada), ZhongShuy 4 (China), ZhongShuy 5 (China), 8 A II (Syria), Jaguar F1 (Pakistan, check) and Rio Grande (Pakistan, check).

Experimental design and crop husbandry

The seed of the twenty-two genotypes were sown directly in sandy soil under the walk-in tunnel system on Nov 1, 2017. The tunnel length was 21.34 meter and the width was 4.57 m. The genotypes were grown in a randomized complete block design (RCBD) with three replications with a plant-to-plant distance of 30cm and row to row distance of 60cm. At the time of seed sowing, Di-Ammonium Phosphate (DAP) fertilizer was applied as a phosphate and nitrogen source@ 150 kg per hectare. In the first two months, irrigation was applied after every 14 days interval together with urea fertilizer application @ 100 kg per hectare. After two months, irrigation was used at the interval of 7 days together with the application of sulphate of potash fertilizer @ 100 kg per hectare. Antracol and Alliette fungicides (™BAYER) were applied preemptively and alternatively, as per company recommendations, once a week for early and late blight disease control.

Data collection

For data collection, four plants from each replication were selected randomly to measure the phenotypic traits. Plant height (cm) was measured from joint of stem and root to terminal portion of the stem. Five leaves from each plant (15 leaves from each replication) were selected to measure the leaf area by the following formulae, Where average leaf width of each leaf corresponds to leaf width taken from the base, middle and end of the leaf. For chlorophyll estimation, SPAD values were recorded by SPAD meter (502-DL Plus, Japan). Number of clusters per plant and number of fruits per cluster were counted manually at the maturity of genotypes. Fruit length and fruit width were taken in millimeter (mm) by digital Vernier caliper (1–150 mm). Fruit weight was calculated as an average of all the fruits of each plant. To measure the final yield, accumulative fruit weight of all the pickings was used. Fruit pulp was extracted and subjected to refractometer (COMINHKPR 124469, China), to measure total soluble solids (TSS) (°Brix) in fruits. Four healthy fruits from each genotype were taken and kept at room temperature. Their weight loss (in grams) and pressure bearing ability (Fruit firmness) (lbs/kg) was measured by the Penetrometer (PIVOT 81-PV0103, China) after every 2 days for 3 times in 6 days. Four fruits from each genotype were analyzed and tasted by a panel of 10 people. They graded each genotype “1–10” with respect to fruit attractiveness and taste.

Statistical analysis

The data were analyzed by ANOVA using statistix 8.1 software. Tukey’s HSD test was performed at 5% probability level to compare the means [15]. The correlation analyses, path analysis and genetic components analysis were performed by using Agricole package in R software. The genetic advance was calculated by the following formula, as described by Evans JD [16] Where K = 2.063 is selection differential at 5% intensity and H2 corresponds to the broad sense heritability, which was calculated by the following formula, Where VG and VP corresponds to the genotypic and phenotypic variance respectively

Results

Morphological traits

Statistical analysis demonstrated a significant (p<0.05) variation among the genotypes for all the morphological traits (Table 1). Maximum plant height was observed in F4T5 (ISL) (256.33 cm) and Cromco (254.67cm) and their height correspond to indeterminate growth habit. Dwarf Moneymaker and Rio Grande were short in height i.e., 82 cm and 64.33 cm, respectively because of their determinate growth habit. Calculated leaf area of Dwarf Moneymaker (10.50 mm2) and Fortuna (10.38 mm2) were found to be the highest. The least leaf area was observed in Allround and Centennial as 2.42 mm2 and 1.86 mm2 respectively (Table 1). SPAD value index of Muchamiel (64.73) was higher than checks and all other genotypes. SPAD value of Centennial (46.2 spade value) was less than check genotype Moneymaker (54.7 spade value) (Table 1)

Table 1

Comparison of traits among 22 varieties, n = 9, average values are included in the table for each trait.

	PH	LL	LW	L.A	SPAD	C/P	F/C	F/P	FL	FW	F.At	Taste	TSS	PFW	Y/P
V1	223.33^AB	4.90^C-E	2.29^AB	9.63^AB	54.70^D-F	16.33^AB	12.67^D-F	56.33^BC	45.33^B-E	54.33^B-D	4.00^C-E	8.25^A-C	4.73^H-J	51.33^C-E	1037.04^B-D
V2	254.67^A	4.00^GH	1.74^CD	6.76^C-E	58.90^B-D	14.00^B-D	18.33^BC	59.67^AB	32.57^G-I	41.78^E-G	8.50^AB	4.67^E-G	5.77^E-H	81.67^BC	960.83^C-E
V3	206.67^AB	4.47^C-H	2.27^AB	8.54^A-C	61.07^AB	15.67^AB	22.67^B	41.00^CD	45.67^B-D	50.00^C-E	4.60^CD	9.67^A	5.68^E-I	49.00^C-E	1508.31^A
V4	210.00^AB	4.83^C-F	2.44^A	9.61^AB	54.50^EF	13.67^B-D	12.00^D-G	40.67^CD	45.00^B-F	48.67^DE	2.00^D-F	0.60^H	5.05^G-J	38.00^DE	1068.26^A-D
V5	184.33^AB	2.93^I	1.36^D-H	4.89^E-G	55.33^C-E	10.33^E-G	10.00^E-H	10.67^FG	53.33^AB	60.67^AB	2.00^D-F	3.86^F-G	5.57^E-J	156.67^A	405.12^F-H
V6	231.00^AB	4.83^C-F	1.61^C-E	6.82^C-E	64.73^A	11.33^D-F	7.00^GH	13.33^E-G	58.00^A	64.00^A	4.63^CD	5.50^D-G	4.70^IJ	163.67^A	571.99^E-H
V7	82.00^DE	5.00^C	2.27^AB	10.50^A	43.47^I	7.67^G-I	11.00^D-H	26.00^D-F	37.00^D-H	29.25^H	8.88^AB	7.63^A-D	4.53^J	26.33^E	250.48^GH
V8	220.00^AB	6.50^AB	1.99^BC	10.38^A	59.30^BC	14.33^A-D	15.67^CD	64.00^AB	39.60^C-G	39.29^FG	9.14^AB	9.20^AB	5.52^F-J	61.67^C-E	1044.11^B-D
V9	256.33^A	4.97^CD	1.97^BC	8.40^A-C	52.50^EF	17.33^A	18.33^BC	65.67^AB	47.33^BC	48.67^DE	8.29^AB	2.20^G	5.70^E-I	57.33^C-E	1487.22^AB
V10	96.67^C-E	4.17^F-H	1.42^D-H	4.84^E-G	46.20^I	11.67^C-F	9.67^E-H	17.00^E-G	45.00^B-F	49.30^C-E	6.43^A-C	7.40^A-D	8.00^BC	56.00^C-E	370.79^FH
V11	204.00^AB	3.13^I	0.90^H	2.42^GH	53.07^EF	13.67^B-D	29.00^A	75.33^A	30.00^HI	33.71^GH	6.50^A-C	6.00^C-F	6.25^D-F	54.00^C-E	1251.89^A-C
V12	217.33^AB	4.20^E-H	1.10^F-H	4.36^E-H	50.83^F-H	12.33^C-E	13.67^C-E	39.33^D	45.67^B-D	60.33^AB	8.13^AB	8.80^AB	6.19^D-G	106.00^B	970.00^C-E
V13	178.0^A-C	4.60^C-G	1.07^GH	3.95^F-H	51.33^E-G	9.33^E-H	7.33^F-H	14.33^E-G	36.32^F-H	37.88^F-H	0.86^F	7.14^B-E	6.98^CD	168.00^A	797.70^D-F
V14	146.67^B-E	7.00^A	1.68^C-E	1.86^H	46.20^I	9.67^E-H	9.33^E-H	21.00^EF	24.52^I	25.53^I	0.86^EF	8.29^A-C	6.67^DE	72.33^B-D	163.65^H
V15	219.67^AB	5.93^B	1.69^C-E	9.92^AB	52.23^EF	14.67^A-C	5.50^H	29.67^DE	33.25^G-I	37.73^F-H	6.29^A-C	7.83^A-D	8.48^AB	45.00^C-E	537.25^E-H
V16	194.67^AB	4.07^GH	1.32^E-G	5.47^D-F	47.27^G-I	16.33^AB	6.67^GH	21.67^EF	35.33^GH	42.06^E-G	9.50^A	4.14^FG	6.91^CD	52.00^C-E	507.33^F-H
V17	160.33^B-D	3.87^H	1.04^GH	3.59^F-H	55.07^C-F	9.00^F-H	6.00^H	21.67^EF	46.40^BC	48.57^DE	8.57^AB	4.00^FG		55.67^C-E	670.98^D-G
V18	156.67^B-D	4.57^C-H	1.18^F-H	5.10^D-F	63.27^AB	6.67^HI	6.00^H	10.67^FG	35.13^GH	42.33^E-G	8.14^AB	8.57^A-C	9.23^A	65.33^B-E	282.49^GH
V19	200.00^AB	4.27^D-H	1.16^F-H	4.82^E-G	60.07^B	11.67^C-F	6.67^GH	14.00^E-G	52.05^AB	58.40^A-C	4.00^C-F	8.80^AB	7.93^BC	45.67^C-E	462.33^F-H
V20	210.00^AB	5.17^C	1.49^D-F	7.66^B-D	50.90^F-H	9.33^E-H	7.00^F-H	3.00^G	29.67^HI	42.12^E-G	3.00^C-F	7.33^B-E		68.00^B-D	280.33^GH
V21	64.00^E	6.07^B	1.94^BC	9.22^A-C	46.60^H-I	9.33^E-H	7.33^F-H	12.67^FG	30.28^HI	36.07^F-H	1.50^D-F	7.25^B-E	6.13^D-G	77.00^B-D	266.67^GH
V22	64.33^E				62.80^AB	5.33^I	6.33^H	15.00^E-G	36.63^E-H	43.40^EF	6.29^BC	0.63^H	6.05^D-G	37.33^DE	541.80^E-H

V1; Moneymaker, V2; Cromco, V3; Robar, V4; Nunhem’s Tuckqeen, V5; Tres Cantos Fito, V6; Muchamiel, V7; Dwarf Moneymaker, V8; Fortuna, V9; F4T5 (ISL), V10; Balady, V11; Allround, V12; Floradel, V13; West Virginia 63, V14; Centennial, V15; MOG 10, V16; Pusa Ruby, V17; Ontario 7716, V18; ZhongShuy 4, V19; ZhongShuy 5, V20; 8 A-II, V21; Jaguar F1, V22; Rio Grande

Yield and related traits

Statistical analysis exhibited significant differences among the genotypes for all yield related traits. Maximum number of clusters were produced by F4T5 (17.33) and minimum were produced by Rio-Grande (5.33). Overall, many exotic genotypes produced less number of clusters than the local ones (Table 1). Likewise, maximum number of fruits per cluster were produced by Allround (29) flowed by Robber (23). Moreover, maximum number of fruits per plant were also produced by Allround (75). A wide range of variation was observed in the fruit length and width of the genotypes, mainly due to differences in their fruit shapes (Table 1). Maximum average fruit weight was observed in West Virginia 63 (168 g) followed by Muchamiel (163.67 g) and Tres Cantos Fito (156.67 g) and minimum fruit weigh was observed in Dwarf Moneymaker (26.33 g). The yield for all genotypes demonstrated that there was substantial variation in yield/plant. The higher yield was produced by Rober (1508.31 g) followed by F4T5 (1487.22 g), while the lowest yield was recorded from Centennial (163.64 g). Local genotypes produced yield in between different exotic genotypes, which depict the potential of variation in the exotic germplasm (Table 1). Analyses of variance depicted significant differences (p<0.05) among all genotypes for fruit quality and attractiveness. Two tomato fruit parameters i.e., weight loss and fruit firmness were analyzed to determine the fruit perishability. All genotypes exhibited different rates of weight loss. The maximum weight loss was observed in Dwarf Moneymaker and Moneymaker, while Cromco had minimum weight loss in 4 days (Table 2). Fruit weight loss in some genotypes was observed to be higher than 30% and they are considered better than checks. Most of the genotypes lose the firmness of fruits in 2 to 4 days. Cromco lost its firmness of about 1.79% after 2 days and 22% after 4 days. At the same time, Allround lost its firmness of about 80% in just 4 days. The fruit of check genotype Moneymaker also exhibited low firmness % and lost its firmness in 2 days. All the other exotic germplasm had shown better firmness % than Moneymaker (Table 3). Total soluble solids (TSS) of the grown genotypes ranged from 9.22°Brix (ZhongShuy 4) to 4.7°Brix (Muchamiel) (Table 1). The sample of Ontario 7716 and 8 A-ll were unfortunately damaged, and hence are excluded in this analysis.

Table 2

Percentage weight loss measured after 2 days and 4th day of picking.

Percentage Weight Loss
	After 2 days	After 4 days
Moneymaker	14.29	34.42
Cromco	0.82	2.45
Robar	3.40	13.61
Nunhem’s Tuckqueen	11.40	25.44
Tres Cantos Fito	4.68	14.68
Muchamiel	3.67	14.05
Dwarf Moneymaker	20.25	34.18
Fortuna	7.57	16.22
F4T5 (ISL)	3.49	25.58
Balady	7.57	13.94
Allround	8.02	34.57
Floradel	0.94	10.06
West Virginia 63	10.42	19.05
Centennial	1.38	10.60
M.O.G. 10	9.63	20.74
Pusa Ruby	5.13	30.77
Ontario 7716	5.99	14.97
Zhong Shuy 4	4.59	15.82
ZhongShuy 5	5.84	22.63
8 A-II	2.94	8.82
Jaguar F1	4.76	9.52
Rio Grande	13.39	31.25

Table 3

Percentage firmness loss after 2 days and 4th day of picking.

Percentage firmness loss
	After 2 days	After 4 days
Moneymaker	94.12	97.06
Cromco	17.09	22.61
Robar	67.83	79.72
Nunhem’s Tuckqueen	65.66	67.68
Tres Cantos Fito	34.93	62.33
Muchamiel	23.40	35.46
Dwarf Moneymaker	48.42	76.84
Fortuna	26.39	50.00
F4T5 (ISL)	48.28	51.72
Balady	26.80	40.21
Allround	45.16	93.55
Floradel	16.67	28.57
West Virginia 63	23.08	53.85
Centennial	10.32	46.03
M.O.G. 10	32.50	61.67
Pusa Ruby	33.87	75.81
Ontario 7716	59.77	67.82
ZhongShuy 4	5.41	26.13
ZhongShuy 5	34.25	56.16
8 A II	14.29	31.43
Jaguar F1	13.21	35.85
Rio Grande	30.40	76.00

Statistical analysis for fruit attractiveness showed significant variations among all genotypes. The most attractive fruits were found to be of Pusa Ruby (9.5/10), while the least attractive fruits were of West Virginia 63 (0.86/10) and Centennial (0.86/10), respectively. Taste analysis of all examined genotypes revealed that there were significant variations in taste for all genotypes. The best taste was found for Robar (9.67/10), while Nunhem’s Tuckqeen (0.6/10) and RioGrande (0.62/10) were least tasty. Many exotic genotypes such as Fortuna (9.2/10), Floradel (8.8/10) and ZhongShuy 5 (8.8/10) had better taste than Moneymaker (8.25/10) (Table 1).

Biometrical analysis

All genotypic correlations were analyzed in comparison with their corresponding phenotypic correlations. Significant (p<0.05) correlations were observed among all traits (Table 4). A strong positive correlation of number of fruits/cluster (0.80), number of fruits/plant (0.83), plant height (0.61) and clusters/plant (0.71) with yield were observed. Fruit length had a moderate positive correlation with the SPAD values (0.42) and a weak positive correlation with the plant’s height (0.30), but it had a negative correlation with the leaf length (-0.42). Leaf length, SPAD values and height of the plants had moderate negative (-0.42), moderately positive (0.49) and weak positive correlation (0.39) with the width of fruit, respectively. Plant height was found to be highly positively correlated with the number of clusters/plant (0.73). The clusters/plant had a moderate positive correlation with the number of fruits/ cluster (0.55) (Table 4).

Table 4

Upper diagonal is genotypic and lower diagonal is phenotypic correlation among different agronomic traits of tomato, n = 66.

	Y/P	FL	F.W	F/P	SPAD	TSS	P.H	C/P	F/C	L.L	L.W	L.A
Y/P		0.27*	0.23	0.83**	0.31**	-0.37**	0.61**	0.71**	0.80**	-0.22	0.26	0.19
F.L	0.22		0.90**	-0.04	0.42**	-0.28**	0.30**	0.21	-0.04	-0.42**	0.05	0.07
F.W	0.21	0.87**		-0.10	0.49**	-0.17	0.39**	0.21	-0.08	-0.49**	-0.10	-0.02
F/P	0.79**	-0.03	-0.08		0.07	-0.35**	0.52**	0.70**	0.86**	-0.04	0.30**	0.22
Chloro	0.28	0.41**	0.47**	0.08		-0.001	0.36**	-0.02	0.07	-0.20	-0.04	0.07
TSS	-0.33**	-0.26	-0.16	-0.34**	0.006		-0.13	-0.18	-0.36**	-0.006	-0.57**	-0.41**
P.H	0.58**	0.24*	0.36**	0.53**	0.30*	-0.13		0.73**	0.43	-0.15	0.009	0.03
C/P	0.65**	0.17	0.21	0.67**	-0.03	-0.19	0.70**		0.56**	-0.05	0.32**	0.25*
F/C	0.72**	-0.04	-0.06	0.80**	0.08	-0.32**	0.33**	0.49**		-0.26**	0.18	0.01
L.L	-0.19	-0.40**	-0.47**	-0.03	-0.19	-0.02	-0.13	-0.03	-0.25*		0.48**	0.40**
L.W	0.23*	0.03	-0.11	0.27*	-0.05	-0.54*	0.01	0.30*	0.16	0.48**		0.83**
L.A	0.17	0.06	-0.03	0.18	0.06	-0.38**	0.03	0.24*	-0.02	0.40**	0.80**

* indicates significant correlation at 5% (p<0.05) and

** indicate significant correlation at 1% (p<0.1)

Y/P; Yield/Plant, F. L; fruit length, FW; Fruit width, F/P; Number of fruits/plant, SPAD; SPAD value, TSS; Total soluble solids, PH; Plant height, C/P; Number of cluster/plant, F/C; Number of fruit/cluster, LL; Leaf length, LW; Leaf Width, LA; Leaf Area * indicates significant correlation at 5% (p<0.05) and ** indicate significant correlation at 1% (p<0.1) It is a general phenomenon that higher heritability results in higher genetic gains in subsequent generations. In our current experiment, the broad-sense heritability was found to be high for all observed traits (Table 5). Leaf length had the highest heritability among all other traits, followed by SPAD values and fruit width. Heritability values of different traits ranged from 79.77 to 95.01% (Table 5). Usually, the traits that have higher heritability and genetic diversity are preferred for any breeding program. Higher heritability among traits indicated less influence of environmental factors on the genotypes. The highest genotypic correlation of yield was observed with the number of fruits per plant (0.83) (Table 5).

Table 5

Genetic components of agronomic traits of exotic tomato germplasm.

		Variances		Coefficient of variation
	Grand mean (x)	Genotypic	Phenotypic	Genotypic	Phenotypic	Heritability	GA	GAM
Y/P	701.66	158819.71	179697.001	39852.19	42390.68	88.38	214.38	30.55
F.L	40.19	73.76	81.77	858.83	904.25	90.21	5.13	12.78
FW	44.90	103.15	108.71	1015.62	1042.66	94.88	6.02	13.40
F/P	30.57	445.45	474.48	2110.56	2178.25	93.88	10.43	34.12
SPAD	54.11	36.79	38.76	606.58	622.60	94.92	2.50	4.63
TSS	6.26	1.45	1.58	120.43	125.81	91.62	0.69	10.98
P.H	180.94	3055.03	3829.80	5527.23	6188.54	79.77	31.86	17.61
C/P	11.80	10.76	11.81	328.00	343.62	91.11	2.32	19.65
F/C	11.30	37.05	40.02	608.72	632.65	92.58	3.70	32.77
L.L	4.74	0.95	1.004	97.68	100.21	95.01	0.46	9.66
L.W	1.61	0.20	0.22	45.07	47.027	91.86	0.28	17.49
L.A	6.61	6.83	7.55	261.39	274.75	90.51	1.69	25.61

F. L; fruit length, FW; Fruit width, F/P; Number of fruits/plant, SPAD; SPAD value, TSS; Total soluble solids, PH; Plant height, C/P; Number of cluster/plant, F/C; Number of fruit/cluster, LL; Leaf length, LW; Leaf Width, LA; Leaf Area Path coefficient analysis further dissected the associations into direct and indirect effects (Table 6, Fig 1). The number of fruits/cluster had a maximum value (0.42) and the positive direct effect on the yield. Number of fruits/cluster also had indirect effects on yield by affecting the number of clusters per plant (0.18) and fruits/plant (0.21). As number of fruits/cluster has both direct and indirect effects on yield, therefore the genotypic correlation between number of fruits/cluster and yield (0.80) was eventually increased. The chlorophyll contents also had direct positive effects (0.22) on yield. The yield of the plants is directly and positively affected due to the length and width of fruits. The leaf surface area’s width also indirectly affected the yield through interaction with clusters/plant (0.10) (Table 6).

Table 6

Direct and indirect effects of different traits on yield derived from path coefficient analysis.

	FL	F.W	F/P	SPAD	TSS	P.H	C/P	F/C	L.L	L.W	L.A	Genotypic Correlation of Yield with all traits`
F.L	0.196	-0.054	-0.009	0.09	1.88E-02	-0.02	0.07	-0.017	-5.18E-03	-0.005	0.006	0.28
F.W	0.177	-0.059	-0.03	0.11	1.17E-02	-0.02	0.07	-0.03	-6.08E-03	0.01	-0.001	0.23
F/P	-0.007	0.006	0.25	0.02	2.39E-02	-0.031	0.23	0.36	-4.99E-04	-0.03	0.01	0.83
SPAD	0.08	-0.03	0.018	0.22	9.56E-05	-0.022	-0.008	0.03	-2.42E-03	0.005	0.006	0.31
TSS	-0.055	0.01	-0.09	-0.0003	-6.74E-02	0.008	-0.06	-0.15	-7.41E-05	0.06	-0.034	-0.37
P.H	0.059	-0.02	0.13	0.082	8.71E-03	-0.06	0.24	0.18	-1.84E-03	-0.001	0.003	0.61
C/P	0.042	-0.01	0.18	-0.005	1.21E-02	-0.044	0.33	0.23	-6.31E-04	-0.04	0.021	0.71
F/C	-0.008	0.005	0.22	0.017	2.44E-02	-0.03	0.18	0.42	-3.16E-03	-0.02	0.001	0.80
L.L	-0.08	0.029	-0.01	-0.04	4.05E-04	0.009	-0.02	-0.11	1.23E-02	-0.05	0.034	-0.23
L.W	0.01	0.0059	0.07	-0.009	3.83E-02	-0.0006	0.10	0.07	5.92E-03	-0.11	0.069	0.26
L.A	0.01	0.001	0.05	0.016	2.75E-02	-0.002	0.08	0.005	5.01E-03	-0.09	0.083	0.19

Fig 1

Path diagram revealing direct and indirect effects of different agronomic traits on one another and ultimately on yield: Micro soft power point was used to construct path diagram.

Discussion

Plant height and leaf area are important morphological traits which attribute to more photosynthetic area and higher assimilates production [20]. Moreover, SPAD index is an estimation of chlorophyll contents [21] and higher SPAD values correspond to higher chlorophyll contents. A wide range of variation was observed among local and exotic germplasm for plant height, leaf area and SPAD values due to the differences in adoptability and genetically wider origin. Moreover, differences in the growth habit i.e., determinate and indeterminate, also contributed to the wide range of morphological traits [22, 23]. Genotypes Dwarf Moneymaker, Jaguar F1 and the Rio Grande, are determinate in their growth nature, and they showed lower plant height and leaf area compared with indeterminate exotic genotypes. Variability among genotypes for the leaf area, SPAD value and plant height suggests genetic diversity [22, 24] coupled with higher heritability may lead to high genetic gains in the breeding program. Yield is a complex trait and is affected by other related traits. A wide range of variation was observed among yield related traits like number of clusters per plant, number of fruits per cluster, number of fruits per plant, fruit weight and yield. Exotic genotypes produced higher number. of fruits/cluster and number of fruits/plant have great potential to be used in breeding program to improve yield. A wider range of phenotypic variability observed in yield coupled with the high heritability values suggests genetic gain by using these genotypes in the breeding programs aimed at higher yield [25-29]. Allround produced more than 70 fruits per plant, but its yield was found to be less because of the smaller size of fruits (Table 1). Use of this genotype to increase the number of fruits per plant can be very effective. Correlation analyses is a very important attribute of any breeding program as selection of traits is based on their association with yield and other related traits. Absolute values of correlation coefficient “r” were kept as: .00-.19 very weak, .20-.39 weak, .40-.59 moderate, .60-.79 strong, .80–1.00 very strong [16]. A positive and strong correlation was observed in most of the traits, especially correlation of morphological and yield related traits. Our results are supported by the findings of other researchers [27, 30, 31] who reported strong association among morphological and yield related traits. Path analyses dissects the correlation into direct and indirect effects. In current study, the effect of fruit length was found to be positive on yield, although otherwise was the case in previous reports [32, 33]. Leaf length negatively correlates with fruit size (fruit length and fruit width). It is known that the leaf and the number of branches are negatively correlated with fruit weight [34]. TSS negatively correlates with yield and other vegetative traits like leaf width and leaf area [35, 36]. TSS is mostly related to the nutritional value of tomato, so increase in yield may negatively affect the TSS to produce the maximum fruits by decreasing nutritional value. Those traits which directly affect yield/plant were suggested to be directly selected for yield improvement on the basis of selection of these traits [37]. Most of the time that association is attributed to indirect effects. The direct and indirect effects of various yield traits can help to select the most desirable characteristics [27, 30, 31]. Regarding genetic advance mean (GAM), Low GAM lied under 0–10%, moderate ranged into 10–20%, and high GAM was more than 20%. Based on the classification, number of fruits/plant, fruits/cluster, leaf area and yield have high GAM, while clusters/plant, plant height, leaf width, fruit width, fruit length and TSS have moderate GAM. Leaf length and chlorophyll contents have low genetic advance but high heritability. Plant traits with strong correlation, higher heritability and genetic advance are expected to give higher genetic gains in subsequent generations and are required for any successful breeding program [38-41]. Current study suggests that by using exotic germplasm in tomato breeding program aimed for higher yield, higher genetic gains can be obtained.

Conclusion

A wide range of phenotypic diversity for morphological, yield and quality traits existed among exotic germplasms. Some exotic genotypes produced higher yields and desirable traits compared to check genotypes. Almost all the traits showed strong correlations with other agronomic and yield traits and also higher values of GAM of those traits were observed, which suggest higher genetic gains in the breeding program. Overall, it is suggested that genetic base of existing Pakistani germplasm should be widened by using exotic germplasm for the development of a successful and sustainable breeding program. (TXT) Click here for additional data file.

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