Studies of phenotypic and genotypic variation in sixteen cucumber genotypes

Abstract

Genetic variability in a crop population is important for successful plant breeding. Sixteen cucumber (Cucumis sativus L.) genotypes were evaluated in the early and late planting seasons to estimate the magnitude of their genetic variability and heritability. Genotypes were also classified into groups based on the performance and determination of the highest discriminating trait that accounted for greater variability using cluster analysis and principal component analysis (PCA), respectively. The measured agronomic traits were vine length, number of branches, number of leaves, and leaf area 8 wk after planting, days to flower initiation, days to 50% flowering, number of staminate flowers per plant, number of pistillate flowers per plant, fruit length, fruit girth, fruit weight per plant, number of fruits per plant, mean fruit weight, and total fruit yield ha -1 . A high coefficient of variation was recorded for most traits in both seasons and high variability was found among genotypes. High broad-sense heritability was associated with all the traits in both seasons, except for mean fruit weight in the early planting season and fruit girth, mean fruit weight, and total fruit yield in late planting season. Cluster analysis and its comparison of means showed that 'Beit Alpha', 'Ashely', 'Straight 8', and 'Sumter' from cluster F in the early planting season and 'Beit Alpha' and 'Ashely' from cluster E in the late planting season expressed the best agronomic traits and yield potentials. Hence, selection for any trait would favor genotypes in these clusters. Principal component analysis involved vine length as the most discriminating trait that accounted for greater variability in cucumber in both the early and late planting seasons, and it should be considered in cucumber improvement programs.

Genetic Variability, Correlation and Path Analysis Study on Snap Melon (Cucumis melo L. var. momordica) Farmer’s Varieties

“…Therefore indicating a predominance of additive gene effects and the possibilities of effective selection can be conducted based on these traits for crop improvement program. Similar findings were reported in Snap melon by Joseph (2012), Muddarsu and Venkat (2013), in cucumber by Ene et al, (2016), in Melon by Malik (2012), in Muskmelon by Tomar et al (2008) and in Watermelon by Thus these characters offer the best possibility of improvement through selection procedures.…”

Influence of Some Squash Cultivars and Growth Stimulants on Flowering, Yield and Fruit Quality at Autumn – Winter Season Under Open Field Conditions

“…In this regard, Esho and Saeed (2016) and Hassan et al (2016) indicated that the variability among summer squash varieties attributed to its genetic make-up. The varietal differences in this connection were also reported by Aly (2002) and Yoldas (2014) who working on summer squash, and Ene et al (2016) on cucumber. They demonstrated that fruit physical characters were significantly affected by the variety.…”

“…These results are in accordance with those obtained by Aly (2002), Yoldas (2014) and Hassan et al (2016) on summer squash, who recorded a significant difference between the tested hybrid squash cultivars and Eskandarany cv., in yield and its components. In this connection, Marie et al(2011), Saeed (2016 and, as well as Kumar and Sharma (2018) all working on different varieties and hybrids of squash, and Ene et al (2016) on cucumber , reported that the differences between either squash or cucumber varieties in number of fruits per plant and total yield attributed to the genetic variation. However, Bielinski et al (2008) stated that members of cucurbits plants are adapted to particular dominant of temperature which considered a main factor influencing of flowering, the opening of flowers, as well as growth of fruits which reflected on yield.…”

Assessment of Variability for Drought Tolerance Indices in Some Wheat ( Triticum aestivum L.) Genotypes

“…Whereas, YI, YSI and DRI had low genetic advance along with high heritability indicated that the effects of environments are greater more than the effects of genetics. Because of the three indices will not useful for further selection (Ene et al, 2016 andBesufikad, 2019).…”

“…Genotypic coefficient of variance supplies facts on the genetic variation display in quantitative traits in base population, but it is too difficult to define the quantity which was heritage. So the heritability measurements assist it to predict the improvement in the selection (Ene et al, 2016). Thus, the heritable portion of the variation could be more useful with help of heritability estimates.…”