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首页> 外文期刊>Bulgarian Journal of Agricultural Science >PRODUCTIVE FEATURES OF OAT VARIETIES GROWN IN ORGANIC PRODUCTION IN THE REGION OF STRUMICA
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PRODUCTIVE FEATURES OF OAT VARIETIES GROWN IN ORGANIC PRODUCTION IN THE REGION OF STRUMICA

机译:在Strumica地区种植的燕麦品种的生产特征

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The research was conducted during 2015 and 2016 of 11 oats genotypes in conditions of organic production. Three of the genotypes are domestic (Krivogastani, Trebenista andKuceviste), 3 genotypes are from Serbia (Rajac, Slavuj andLovkeri) and five genotypes are from Croatia (Kupa, Baranja, Eksplorer, Sampionka andIstra).The genotypes showed different average values almost for all analyzed yield components and according to the significance of the differences they are divided in groups. Of all the genotypes cultivated in the Strumica region, the highest total grain yieldhad varieties Kupa (3 850 kg/ha and 2 866 kg/ha) and Istra (3 600 kg/ha and 3 666 kg/ha).The 11 varieties tested are divided into 3 clusters. The third cluster includes varieties Kupa and Istra, which are the most high-yielding compared with the rest of the group.The analysis of variance showed that the genotype has the highest influence to the yield components: number of spikelet in the tassel, the length of the tassel, the plant height and the grain yield in the tassel.There is a strong positive correlation between the grain yield per tassel and grain yield per lha (0.716).From the distribution of the components of the yield and yield of the grain in the factorial plane, we obtained that the yield can be increased only by selecting tassels with a high grain yield.
机译:该研究在2015年和2016年进行了11个燕麦基因型的11燕麦基因型中进行了有机生产条件。三种基因型是国内(Krivogastani,Trebenista Andkuceviste),来自塞尔维亚(Rajac,Slavuj andlovkeri)和五种基因型来自克罗地亚(Kupa,Baranja,Eksplorer,Sampionka Andistra)。基因型几乎显示了不同的平均值分析产量组分,并根据它们分组的差异的重要性。在培养的所有基因型中,最高的总谷物产脉品种Kupa(3 850kg / ha和2 866 kg / ha)和istra(3 600kg / ha和3 666 kg / ha)。测试了11个品种分为3个簇。第三簇包括品种Kupa和Istra,与该组的其余部分相比是最高产的。方差分析表明基因型对产量组分具有最高影响:流苏中的小穗数量,长度流苏,植物高度和流苏中的籽粒产量。每次流苏的谷物产量和籽粒产量之间存在强烈的正相关性(0.716)。从谷物产量和产量的分布分布在因子平面中,我们获得了通过选择具有高颗粒产量的流苏来增加产量。

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