Genotype X Environment Interaction for Yield of Pickling Cucumber in 24 U.S. Environments

Dia, Mahendra; Wehner, Todd C.; Elmstrom, G. W.; Gabert, August C.; Motes, James E.; Staub, Jack E.; Tolla, G. E.; Widders, Irvin E.

doi:10.1515/opag-2018-0001

Cited by 10 publications

(9 citation statements)

References 47 publications

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“…These results indicated that the most traits exhibited high and significant differences, It also, suggesting that these traits were affected by changing environmental from year to year and sowing date to another sowing date. These results were in agreement with those found by Saglam and Yazgan, (1999), Mrinalini andDevi, (2017), andDia et al, (2018).…”

Section: Analysis Of Variancesupporting

confidence: 93%

General Performance, Heterosis and Potence Ratio for Some Important Characters Using Complete Diallel Cross among Five Inbred Lines of Cucumber (Cucumis sativus, L.) under Greenhouse Conditions

Arab

Ebido²,

Aly³

et al. 2020

Journal of the Advances in Agricultural Researches

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Self-pollination for five selected cucumber indeterminate inbred lines was carried out for two generations, during summer and autumn season of 2016, to confirm their purity as parents in a hybrid breeding program. Complete diallel cross among the five inbred lines were conducted during summer season of 2017 to produce all possible hybrids combinations. The twenty-five genotypes (Five parents, their 10 F 1 hybrids and 10 F 1 reciprocals) were grown and evaluated under greenhouse conditions in three sowing dates (mid of each months February, March and May respectively) for two successive years (2018 and 2019) in a randomized complete block design with three replicates. Mean performance, heterosis % and Potence ratio were estimated, for characteristics of vegetative, flowering and fruit quality, yield and its components. The results clarified that there were significant and high significant differences between genotypes of the study in all studied traits. The best parents for vegetative growth, yield components and fruit quality traits were P 4 followed by P 5 and P 2 . Therefore, the three parental inbred liens P 4, P 5 andP 2 can be selected as tester parents, and for the sharing in hybrid combinations to predict the best hybrids. The best hybrid combinations for most traits were found to be F 1 hybrids of P 2 XP 4 and P 1 XP 5 , and their reciprocals which recorded the highest productivity for total yield, number of fruits/plant and high average fruit weight and other fruit quality traits. Therefore, F 1 hybrids P 2 XP 4 and P 1 XP 5 and their reciprocals could be generally, considered the most important ones and promising new produced cucumber hybrids of this study. The results proved the existence of marked potence ratios and heterosis, either over the mid-parental value or that of the better parent for all studied traits. Heterosis values for vegetative measurements, early yield, total yield, number of fruits, average fruit weight and fruit length traits were positive and significant in the most crosses, while potence ratio estimates were positive and greater than one. Therefore, the inheritance of these traits involved complete to over dominance for high over low values. However, heterosis values for flowering and fruiting measurements were negative and significant in most crosses, also potence ratio estimates were negative and greater than one. Therefore, the inheritance of these traits seemed to have dominance to overdominance nature for early over late flowering and fruiting.

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Section: Analysis Of Variancesupporting

confidence: 93%

General Performance, Heterosis and Potence Ratio for Some Important Characters Using Complete Diallel Cross among Five Inbred Lines of Cucumber (Cucumis sativus, L.) under Greenhouse Conditions

Arab

Ebido²,

Aly³

et al. 2020

Journal of the Advances in Agricultural Researches

View full text Add to dashboard Cite

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“…The G · E interactions ranged from 8% to 21% among the yield traits. The magnitude of G · E variance (as compared with G) indicated that multienvironment cultivar evaluations are critical in muskmelon breeding programs (Dia et al, 2018). Furthermore, genotype (G) by year (Y) interactions were also highly significant for yield traits, suggesting that G · Y interactions are important to consider for developing stable cultivars adapted for a specific environment (Joshi et al, 2011).…”

Section: Fruit Yield and Its Componentsmentioning

confidence: 99%

“…Furthermore, genotype (G) by year (Y) interactions were also highly significant for yield traits, suggesting that G · Y interactions are important to consider for developing stable cultivars adapted for a specific environment (Joshi et al, 2011). The genotype (G) by location (L) interactions were also significant for these traits, indicating the need of regionalization of melon breeding programs (Dia et al, 2016a(Dia et al, , 2018. In a planting density study at two locations, Kultur et al (2001) found that G · L interactions had significant effects on FN, FW, and TFY in melons.…”

Section: Fruit Yield and Its Componentsmentioning

confidence: 99%

GGE Biplot Analysis of Genotype-by-environment Interactions for Melon Fruit Yield and Quality Traits

Sharma¹,

Leskovar²,

Crosby³

et al. 2020

horts

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The stability of yield and quality traits in nine orange-fleshed melon (Cucumis melo L.) genotypes was studied over nine environments in south-central Texas (College Station, Uvalde, and Weslaco) over 3 years (2010, 2011, and 2012). Besides yield traits, fruit -quality components such as soluble solids content (SSC), β-carotene, and fruit firmness were also measured. Data were subjected to the combined analysis of variance and trait stability by GGE Biplot. The significant genotype-by-location interactions for yield traits demonstrated the potential to develop location-specific cultivars. However, the temporal fluctuations in productivity emphasized the need to select for stability over several years in potential cultivars for the target environments. Cultivar Mission was confirmed as the most stable and average performing genotype for marketable yield and quality traits at all locations. Uvalde was identified as the ideal location for selecting generally adapted genotypes for south-central Texas. Biplot analysis indicated that Orange Dew was the highest mean performing genotype for SSC. The hybrid Oro Duro, followed by TAMU 146, ranked highest for mean and stability of β-carotene content, but it ranked lowest for fruit firmness. TAMU Orange Casaba exhibited specific adaptation, producing the highest mean fruit yield at Weslaco, while Journey had the highest fruit yield at College Station and Uvalde. Understanding of genotype-by-environment interactions for multiple traits in melon is critical for developing cultivars with high mean performance and stability in target growing environments.

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“…When a significant G × E is identified, subsequent stability analysis is often carried out to identify stable genotypes which exhibit consistently higher yield over several environments 4 . The presence of significant G × E has been found in growth and yield traits of several field 5 – 8 and vegetable crops 3 , 9 – 11 . In tomato ( Solanum lycopersicum L.), an economically important vegetable widely grown and consumed in the world, yield and quality traits were found to demonstrate strong G × E 12 – 16 .…”

Section: Introductionmentioning

confidence: 99%

Stability of yield and its components in grafted tomato tested across multiple environments in Texas

Djidonou

Leskovar

Joshi

et al. 2020

Sci Rep

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Grafting with vigorous rootstocks could offer tomato growers in Texas sustainable and efficient option to achieve reliable yield across a range of production systems and locations. Genotypes (G) of grafted and non-grafted tomato were grown in different environments (E) in the 2017 and 2018 spring seasons. The objectives of the study were to (i) evaluate the effects of production system and grafting on tomato yield traits, (ii) determine the size of genotypic and genotype by environment interaction (G × e) variance components, and (iii) evaluate the relative stability of tested genotypes for yield and its components across production environments. In 2017, genotypes were non-grafted 'TAMU Hot Ty' (TAM) and 'Tycoon' (TY) and each grafted on commercial tomato rootstocks 'Estamino' (TAM/ ES, TY/ES) and 'Multifort' (TAM/MU, TY/MU) while in 2018, TAM and 'HM1823' (HM) were grafted on 'Estamino' (TAM/ES, HM/ES) and 'Multifort' (TAM/MU, HM/MU). Testing environments were high tunnel (HT) and open-field (OF) in Uvalde in 2017 while in 2018, these were HT and OF in Lubbock (LU-HT, LU-OF), Overton (OV-HT, OV-OF), Uvalde (UV-HT, UV-OF), and Weslaco (WE-HT, WE-OF). Total and marketable yields, fruit number per plant, and average fruit weight were significantly affected by E, G, and G × E interaction. Environmental component contributed 71-86% to the total variation for all these traits, while genotype explained 1.5-10.8%, and the contribution of G × E ranged between 4.3 to 6.7%. Estimation of the univariate statistic parameters and genotype plus genotype × environment (GGE) biplot analysis indicated that HM/MU and HM/ES were the most stable graft combination with the highest total and marketable yields, while TAM/ES was very unstable for yields across test environments. TAM/MU was stable but with yield lower than the grand mean. These results suggest that high tomato yields could be consistently achieved with grafted combination (HM/MU and HM/ES) especially under high tunnel production system across the regions of texas. Genetics, environmental factors, and cultural management practices typically determine the extent of quantitative traits of economic importance such as genotype or cultivar yield. As such, the proportion of the variation in this phenotypic trait due to the main effect of genotype (G), the environment (E) and their interactions (G × E) is routinely assessed during the process of selecting top-performing lines 1. In this regard, multilocation trials are routinely conducted to assess the pattern of genotypic response over a number of locations and years (test environments). Typically, a significant G × E exists whenever the genotype performance greatly differs with environments 2,3. When a significant G × E is identified, subsequent stability analysis is often carried out to identify stable genotypes which exhibit consistently higher yield over several environments 4. The presence of significant G × E has been found in growth and yield traits of several field 5-8 and vegetable crops 3,9-11. In tomato (Solanum lyc...

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Genotype X Environment Interaction for Yield of Pickling Cucumber in 24 U.S. Environments

Cited by 10 publications

References 47 publications

General Performance, Heterosis and Potence Ratio for Some Important Characters Using Complete Diallel Cross among Five Inbred Lines of Cucumber (Cucumis sativus, L.) under Greenhouse Conditions

General Performance, Heterosis and Potence Ratio for Some Important Characters Using Complete Diallel Cross among Five Inbred Lines of Cucumber (Cucumis sativus, L.) under Greenhouse Conditions

GGE Biplot Analysis of Genotype-by-environment Interactions for Melon Fruit Yield and Quality Traits

Stability of yield and its components in grafted tomato tested across multiple environments in Texas

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