饲用珍珠粟种质选育产量及产量组成性状评价

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摘要

本研究旨在对珍珠粟(Pennisetum glaucum L.)基因型的产量进行评价,从48个珍珠粟基因型中选择13个珍珠粟基因型的鲜干饲料产量及其性状进行筛选。实验在2021年和2022年夏季在小岛屿发展中国家农业研究站进行了随机完整块设计,有三个重复。各基因型性状均方根差异极显著。13个珍珠谷子基因型的鲜、干牧草总产量变异极显著,其中谷子6的产量最高,其次是山达瓦尔1和谷子Sids 3,分别为85.5、80.8和74.9 kg/田。籽粒10的产量最低,其次是籽粒12和籽粒11,分别为44.9、45.0和46.5 kg/田。总干产量均值最高的是谷子6号,其次是山达瓦尔1号和谷子3号,分别为12.2、11.1和9.6 kg/田。组合鲜草料总产量的方差成分为大均值58.6、δ2p 385.9和δ2g 383.1,遗传advance为40.3。平均、δ2p、δ2g和遗传进步的总干产量分别为7.37、11.25、11.16和6.88。谷子基因型最具歧视性的环境是由于δ2g和δ2p的差异。此外,基因型差异的影响也很大。鲜产量和干产量遗传力较高,分别为99.64和99.59。遗传力估计值在(gcv %)和pcv %之间的差异最小时增加。结果表明,在所研究的基因型之间存在差异,有可能在育种过程中利用这些基因型来改善所研究的性状。结果表明,谷子6号群体、山达瓦尔1号群体和Sids 3号群体的基因型最好,可用于鲜干产量、株高、鲜干叶茎率的育种计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Selected Forage Pearl Millet Germplasm for Yield and Yield Component Traits
The present study aimed to evaluate the productivity of pearl millet (Pennisetum glaucum L.) genotypes to select the promising genotypes for fresh and dry forage yields and its traits of thirteen selected genotypes of pearl millet from forty eight genotypes. The experiments grown in a randomized complete blocks design with three replications at Sids Agricultural Research Stations, in 2021 and 2022 summer seasons. Studied traits showed highly significant different of mean squares for genotypes. Analysis of variance for 13 Pearl millet genotypes revealed highly significant variation for total fresh and dry forage yield whereas the highest one was millet6 followed by population Shandawal 1 and population millet Sids 3 which had 85.5, 80.8 and 74.9 kg/plot, respectively. While, the lowest one were millet10 followed by millet12 and millet11 which had 44.9,45.0 and 46.5 kg/plot, respectively. Also, the highest mean values for total dry yield were millet 6 followed by population shandawal 1and population millet Sids 3 which had 12.2,11.1 and 9.6 kg/plot, respectively. Variance components of total fresh forage yield for combined showed that grand mean 58.6, (δ2p 385.9) and(δ2g 383.1) and genetic advance 40.3. Also, total dry yield had 7.37,11.25,11.16 and 6.88 for grand mean, δ2p, δ2g and genetic advance, respectively. The most discriminating environment for millet genotype which is due to the differences between δ2g and δ2p. Also, the effects of the difference between genotypes were high. Heritability values were high for total fresh and dry yield which had 99.64 and 99.59,respectively. Heritability estimates increased when the differences between (G.C.V. %) and P.C.V. % values were the least values. The results cleared that were variations between all studied genotypes had possibility used these genotypes to improve the studied traits during breeding program. The results indicated that millet 6, population Shandawal 1 and population Sids 3 had the best genotypes and could be used in breeding program for fresh and dry yield, plant height, fresh and dry leaf stem percent.
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