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首页> 外文期刊>Agricultural Science Digest >PATH COEFFICIENT ANALYSIS IN LOCAL PEARL MILLET GERMPLASM FOR GRAIN MINERALS AND AGRONOMIC CHARACTERS
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PATH COEFFICIENT ANALYSIS IN LOCAL PEARL MILLET GERMPLASM FOR GRAIN MINERALS AND AGRONOMIC CHARACTERS

机译:矿物质和农艺性状在地方小胚芽中的路径系数分析

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摘要

Path coefficient analysis for grain minerals and quality traits affecting grain yield was accomplished in 61 indigenous germplasm lines of pearl millet. Maximum direct effect on grain yield was contributed by crude fat content which is positive and highly significant (P < 0.01) followed by number of productive tillers (P < 0.01), hundred grain weight and panicle length (p<0.05). The rest of the yield attributes showed moderate to low positive direct effect on grain yield plant1. Productive tillers per plant, panicle length, 100-grain weight and crude fat content had positive and significant indirect effect on grain yield. These results interestingly showed that either higher grain yield or seed weight often have higher crude fat content which increased the feed value in poultry farms. It was also noted that, breeding for high grain minerals as well as other quality characters did reduce the yield potential of the cultivars.
机译:在61个珍珠小米本地种质系中完成了谷物矿物质和影响谷物产量的品质性状的路径系数分析。对谷物产量的最大直接影响归因于粗脂肪含量为正值且高度显着(P <0.01),其次是生产分till的数量(P <0.01),百粒重和穗长(p <0.05)。其余的产量属性对谷物产量植物1表现出中等到低的正直接影响。单株生产分till,穗长,100粒重和粗脂肪含量对籽粒产量具有积极和显着的间接影响。这些结果有趣地表明,无论是谷物产量高还是种子重量高,通常都有较高的粗脂肪含量,从而增加了家禽养殖场的饲料价值。还应注意的是,高谷物矿物质以及其他品质特性的育种确实降低了品种的产量潜力。

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