首页> 外文期刊>African Journal of Agricultural Research >Correlation and path coefficient analyses of some yield related traits in finger millet (Eleusine coracana (L.) Gaertn.) germplasms in northwest Ethiopia
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Correlation and path coefficient analyses of some yield related traits in finger millet (Eleusine coracana (L.) Gaertn.) germplasms in northwest Ethiopia

机译:埃塞俄比亚西北部小米(Eleusine coracana(L.)Gaertn。)种质一些产量相关性状的相关性和路径系数分析

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The associations among yield components and their direct and indirect influence on the grain yield of finger millet were investigated. For this purpose,?eighty-eight finger millet (Eleusine coracana?(L.) Gaertn.) genotypes were tested using?an augmented?randomized complete block?experimental design with two replications at Adet Agricultural Research Center in 2008. Accordingly, phenotypic and genotypic correlations among the traits and their path coefficients were estimated. Grain yield was significantly correlated with its component characters like?plant height (rp=0.446**?and rg=0.574**), number of ears per plant (rp=0.364**?and rg=0.443**), number of fingers per ear (rp=0.329**?and rg=0.532**), finger length (rp=0.361**?and rg=0.426**), biomass yield (rp?and rg=0.839**), harvest index (rp=0.336**?and rg=0.476**) and thousand kernel weight (rp=0.225*?and rg=0.267*). Phenotypic path analysis showed biomass yield (0.835)?and finger length (0.159), number of fingers per ear (0.016), and number of ears per plant (0.038) to exert positive direct effects on grain yield, while plant height, days to heading and days to maturity exhibited negative direct effects. Genotypic path analysis also revealed that biomass yield (2.240),?number of tillers per plant (0.359)?and finger length (0.242) exerted?positive direct effects on grain yield. Thus, the correlation analysis showed plant height, number of ears per plant, number of fingers per ear, finger length, biomass yield, harvest index and 1000 kernel weight to be important yield components that can be used to improve the yield potential of finger millet genotypes.
机译:研究了产量构成要素之间的联系及其对指谷粒产量的直接和间接影响。为此,2008年在Adet农业研究中心使用“随机全块”增强实验设计对88个小米(Eleusine coracana?(L.)Gaertn。)基因型进行了测试。因此,表型和表型估计了性状之间的基因型相关性及其路径系数。籽粒产量与其组成特征显着相关,例如:株高(rp = 0.446 **和rg = 0.574 **),每株穗数(rp = 0.364 **和rg = 0.443 **),每只耳朵手指(rp = 0.329 **和rg = 0.532 **),手指长度(rp = 0.361 **和rg = 0.426 **),生物量产量(rp?和rg = 0.839 **),收获指数(rp = 0.336 **和rg = 0.476 **)和千粒重(rp = 0.225 *α和rg = 0.267 *)。表型路径分析表明,生物量产量(0.835)和手指长度(0.159),每只耳朵的手指数(0.016)和每株植物的耳朵数(0.038)对谷物产量产生正向直接影响,而株高,到航向和成熟天数表现出负面的直接影响。基因型路径分析还表明,生物量产量(2.240),“每株分till数(0.359)”和指长(0.242)对谷物产量具有正的直接影响。因此,相关分析表明植物高度,每株植物的穗数,每只耳朵的手指数,手指长度,生物量产量,收获指数和1000粒重是重要的产量组成部分,可用于提高小米的产量潜力基因型。

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