狭叶菊地方品种产量及营养性状的选择与改良。

Q1 Agricultural and Biological Sciences
Charity Aremu, Micheal Abberton, Timothy Adebiyi, Abiola J Asaleye, Henry Inegbedion, Stephen Abolusoro, Aruna Adekiya, Christopher Aboyeji, OluGbenga Dunsin
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引用次数: 6

摘要

背景:窄叶菊是一种未充分开发的非洲土著粮食作物,营养品质丰富。目的:探索这种地方品种的强大遗传基础,可以通过包装和专利提高生产,帮助农业部门对经济的利益最大化。这也将提高粮食生产的质量,促进非洲粮食可持续性运动。方法:在此基础上,利用多重统计方法,鉴定出狭叶葡萄产量与营养性状的相关性,从而支持最大产量和营养性状产量的选择。在尼日利亚Landmark大学的教学与研究农场,对23种窄叶菊(Sphenostylis stenocarpa)的产量及相关性状(蛋白质和油脂含量)进行了4年种植试验。结果:利用主成分分析、聚类分析、长白×年互作分析对性状变异进行了评价,并确定了变异模式。在L × Y互作中,部分营养性状(成熟期、高度和分枝)和产量性状(荚果性状、种子产量和含油量)显著相关(P < 0.05)。这说明这些性状在提高狭果籽粒和油质产量方面是有用的。含蛋白质含量的块茎和根瘤产量在方差表中差异不显著。结论:单次定位试验不足以确定该性状的表现。前四个pc占总变异的51%,可追溯到分枝、成熟期、豆荚数、种子和含油量是产量的主要贡献者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Selecting Yield and Nutritional Traits in Sphenostylis stenocarpa Landraces for Food Improvement.

Background: Sphenostylis stenocarpa is an underexploited African indigenous food crop that is enriched in nutritional quality.

Objective: Exploring the robust genetic base of this landrace can help to maximize the benefit of the agricultural sector on the economy through production that is enhanced by packaging and patent. This as well will increase the quality of food production and promote African campaign on food sustainability.

Methods: Upon this, this research made use of multiple statistics to identify S. stenocarpa yield and nutritional trait relatedness that supported selection for maximum yield and nutritional trait output. Yield and related traits including protein and oil contents of twenty-three Sphenostylis stenocarpa landraces were studied under a four year planting seasons in Teaching and Research farm of Landmark University, Nigeria.

Results: Trait variances from Landrace × Year (L × Y) interaction, Principal Component and Cluster analyses were evaluated and the variation patterns were identified. Some vegetative (maturity phase, height and branching) and yield traits (Pod traits, seed yield and oil content) correlated significantly (P < 0.05) in the L × Y interactions. This suggests the usefulness of these traits in improving S. stenocarpa grain and oil quality yield. Tuber and nodule yield including protein content did not differ significantly in the variance table.

Conclusion: The result indicates that one location trial is insufficient to determine such trait performance. The first four PCs that accounted for 51 percent of the total variations were traceable to branching, maturity date, pod numbers, seed and oil content as main contributors to yield.

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来源期刊
Recent patents on food, nutrition & agriculture
Recent patents on food, nutrition & agriculture Agricultural and Biological Sciences-Agronomy and Crop Science
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