Correlation and path coefficient analysis of yield characters in bread wheat (Triticum aestivum L)
• 2005
معلومات البحث
المؤلفون
Sherif, H. S.; El-Hosary, A. A.;Bekhit, M. M.; Moustafa, M. A. and El-Maghraby, M. A.
الكلمات المفتاحية
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المجلة العلمية
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الناشر
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المجلد
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العدد
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الصفحات
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publication.type
Local
رابط البحث
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المواد المرفقة
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الملخص
The major goal of this investigation is studying the correlation for yield and yield components. Ten bread wheat genotypes (Gemmiza 7, Sakha 61, Sakha 69, Sakha 93, Sakha 8, Sids 6, Line 1, Line 2, Line 6 and Line 8) represent a wide local and exotic germplasm were evaluated under recommended conditions at Nubaria in 1999/2000 and 2000/2001. Grain yield and its components; number of spikes per m2, number of kernels per spike and 1000- kernel weight were recorded during the genotypes evaluation to study the possibility of using these parameters as indices in selection breeding program.
The phenotypic correlation was highly significant positive between grain yield and number of spikes per plant, while it was significant positive with number of kernels per spike and 1000-kernel weight. The results indicated that the most important sources of variation in grain yield are the direct effect of number of spikes per plant followed by 1000-kernel weight and number of kernels per spike. Indirect effects of yield components in grain yield revealed that the interaction between number of kernels per spike and number of spikes per plant was the first indirect effect followed by interaction between number of spikes per plant and 1000-kernel weight.
The phenotypic correlation was highly significant positive between grain yield and number of spikes per plant, while it was significant positive with number of kernels per spike and 1000-kernel weight. The results indicated that the most important sources of variation in grain yield are the direct effect of number of spikes per plant followed by 1000-kernel weight and number of kernels per spike. Indirect effects of yield components in grain yield revealed that the interaction between number of kernels per spike and number of spikes per plant was the first indirect effect followed by interaction between number of spikes per plant and 1000-kernel weight.
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