Bulb Morphological Characteristics as Selection Indices to Improve Yield of Garlic (Allium sativum L.) | ||||
| Alexandria Science Exchange Journal | ||||
| Article 2, Volume 43, Issue 1, March 2022, Page 11-20 PDF (580.83 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/asejaiqjsae.2022.214687 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Entsar Ibrahem Ragheb  1; Mona M. Hemeid 2
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| 1vegetable department, Faculty of Agriculture Alexandria Univ., Egypt | ||||
| 2Crop Science Department, Faculty of Agriculture, Alexandria University, Alexandria, Egypt. | ||||
| Abstract | ||||
| During this study, 21 garlic genotypes consisted of ten clones of Egyptian cultivar, nine clones of Chinese cultivar, as well as their original populations were evaluated to estimate the extent of improvement in four yield component traits after six cycles of clonal selection. Also, simple phenotypic correlation among these traits and their relationship with yield. Besides estimating linear and quadratic responses (simple and multiple regression); to clarify the relationship between yield and the four studied characteristics. This research has been conducted at the Research farm of Faculty of Agriculture in “Abies” area of Alexandria University, Egypt, for 2020/2021 during the winter season, in a randomized complete block design with three replications. The studied traits were included bulb weight, cloves weight per bulb, average clove weight, cloves number per bulb, and yield per plot. T-test in group reflected a significant improvement in the four yield components traits, whether in the improved clones of Egyptian or Chinese cultivar. The results illustrated, also, that yield per plot showed a highly significant positive correlation with bulb weight, cloves weight per bulb, and average clove weight. Stepwise regression indicated that more than 98% of the variation in yield is explained by bulb weight, average clove weight, and cloves number per bulb. Thus, high yield of garlic plants can be obtained by selecting breeding materials with these aforementioned three variables. | ||||
| Keywords | ||||
| bulb traits; correlation; evaluation; garlic; regression | ||||
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