评估塔拉米拉(Eruca sativa Mill.)种质的遗传变异性以改进育种策略

Sukhjot Singh, Manohar Ram, Deepak Gupta, Manoj Kumar Meena, P. K. Nayak, Komal Choudhary, Rahul, Rajneesh Kumar, Shambhu Chouhan
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摘要

本研究采用随机区组设计,通过不同的播种日期(10 月 17 日适时播种和 11 月 5 日晚播),在四种人工创造的环境中进行三次重复,估算了 30 种不同塔拉米拉(Eruca sativa Mill.)种质 13 个特征的遗传变异性。即适时播种、无石狒狒(E1),适时播种、有石狒狒(E2),晚播、无石狒狒(E3),晚播、有石狒狒(E4)。集合方差分析结果表明,除成熟天数、每株主枝、纤毛长度(厘米)外,种质、环境和 G×E 交互作用在所有性状上都存在显著差异。因此,对每种环境分别进行方差分析,结果表明所有性状之间都存在显著差异。在所有四种环境中,所有性状的 PCV 值均大于GCV 值。 在比较了所有四种环境中产量和不同产量性状的平均值和范围后,发现 E1 环境中大多数性状的平均值和范围都最高。在所有四种环境中,高遗传率和高遗传进展(占平均值的百分比)表明,第一枝萌发高度(厘米)、每粒种子、1000 粒种子重量(克)和每株种子产量(克)等性状具有较高的价值。因此,它们可能受加性基因作用的控制。因此,对这些特征的选择将具有很高的响应性。
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Assessing Genetic Variability in Taramira (Eruca sativa Mill.) Germplasm for Enhanced Breeding Strategies
The present research was carried out to estimate the genetic variability for 13 characters among 30 different germplasm of Taramira (Eruca sativa Mill.) in a randomized block design with three replications over four artificially created environments through different dates of sowing (timely sown 17 Oct. and late sown 5 Nov.) with (Orobanche free and Orobanche infested field) i.e. timely sown, Orobanche free (E1 ), timely sown, Orobanche infested (E2 ), late sown, Orobanche free (E3 ), late sown, Orobanche infested (E4 ) at Research farm of SKN College of Agriculture, Jobner (SKNAU, Jobner) during the rabi 2022–23. Pooled Anova revealed significant differences among germplasm, environments and G×E interaction significant for all the traits except days to maturity, primary branches per plant, siliqua length (cm). Therefore, analysis of variance is carried out separately for each environment, indicated significant differences among all traits. In all four environments, the PCV>GCV value for all characters.  After comparing the mean and range for yield and different yield attributing traits in all four environments, it was found that both were highest in E1 for most of the traits. The high heritability coupled with high genetic advance as percentage of mean for all four environments revealed that characteristics such as height of first branch emergence (cm), seeds per siliqua, 1000-seed weight (g) and seed yield per plant (g) had high value. As a result, they might be under the control of additive gene action. Therefore, selection for these characters will be highly responsive.
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