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主成分分析和隶属函数法对含非洲种质青贮玉米的评价 被引量:15
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作者 张士龙 贺正华 +2 位作者 黄益勤 万正煌 焦春海 《湖北农业科学》 2016年第15期3824-3828,3837,共6页
为了筛选适宜湖北省种植的全株青贮玉米组合,采用随机区组设计及主成分分析和隶属函数法,对23份含非洲热带种质的青贮玉米组合的农艺性状、生物学产量及品质性状指标进行了研究。结果表明,大部分组合的株高在280 cm以上;除FC3349和FC331... 为了筛选适宜湖北省种植的全株青贮玉米组合,采用随机区组设计及主成分分析和隶属函数法,对23份含非洲热带种质的青贮玉米组合的农艺性状、生物学产量及品质性状指标进行了研究。结果表明,大部分组合的株高在280 cm以上;除FC3349和FC3317有少量倒伏外,其余组合无倒伏;组合FC3316收获时可见绿叶数最多,且生物产量最高,达94 230.77 kg/hm2,显著高于其他组合(P<0.05)。各组合的中性洗涤纤维(NDF)、酸性洗涤纤维(ADF)、粗蛋白质(CP)含量均存在显著差异。FC3316的NDF含量最高,达49.95%,FC4008的NDF含量最低,仅为46.87%;参试组合的ADF含量变化范围为24.31%~27.14%,其中FC3316含量最高;CP含量超过9%的组合有FC3304、FC3305、FC3318、FC4000,其中FC3318含量最高,达9.94%,FC3473含量最低,仅为6.01%。对重要农艺、产量、品质性状进行主成分分析,提取了4个主成分,累计贡献率达77.53%。结合各指标的相关性分析,选择生物产量、单株叶重、单株穗重、CP含量4个指标采用模糊数学隶属函数法进行综合评价,结果发现FC3318的隶属函数值最高,为0.87;其次是FC3305,为0.84;FC3020表现最差,仅为0.36。 展开更多
关键词 青贮玉米 非洲种质 生产性能 主成分分析 隶属函数法
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黄淮海夏玉米区非洲种质的改良与利用研究 被引量:2
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作者 孟彦 袁业帅 +3 位作者 朱伟 孟自力 刘卫星 闫向泉 《中国种业》 2013年第12期64-66,共3页
利用非洲种质抗病性强的特点改良黄淮海现有种质,可以显著提高杂交种的产量和抗逆性。CM07组配的组合产量及抗病性表现较好,ZB903及ZB905组配的组合产量差异较大,抗病性不稳定,表明直接利用非洲种质的效果并不理想,瑞德×(唐四平头... 利用非洲种质抗病性强的特点改良黄淮海现有种质,可以显著提高杂交种的产量和抗逆性。CM07组配的组合产量及抗病性表现较好,ZB903及ZB905组配的组合产量差异较大,抗病性不稳定,表明直接利用非洲种质的效果并不理想,瑞德×(唐四平头+非洲种质)是黄淮海比较理想的杂种优势模式之一。 展开更多
关键词 玉米 非洲种质 种质改良
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非洲种质在黄淮海的改良与利用研究 被引量:4
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作者 孟彦 马磊 +5 位作者 闫向泉 朱伟 孟自力 刘卫星 孙民 丁莉 《玉米科学》 CAS CSCD 北大核心 2014年第5期35-38,共4页
对4个非洲种质和4个常用种质组配的16个组合的玉米穗部性状、抗病性及病害与产量的相关性进行分析。结果表明,坦桑尼亚种质ZB903所配制的组合产量表现较稳定,综合抗病性强,在抗病育种中有较大的利用价值;埃塞俄比亚种质与黄改系种质选育... 对4个非洲种质和4个常用种质组配的16个组合的玉米穗部性状、抗病性及病害与产量的相关性进行分析。结果表明,坦桑尼亚种质ZB903所配制的组合产量表现较稳定,综合抗病性强,在抗病育种中有较大的利用价值;埃塞俄比亚种质与黄改系种质选育的CM07组配的组合产量最高、百粒重大、穗行数多,对产量影响最严重的茎基腐病表现达高抗水平。直接利用非洲种质的效果并不理想,其与黄改系种质杂交选育的自交系可在黄淮海重点利用。瑞德×(塘四平头+非洲种质)是黄淮海利用该种质比较理想的杂种优势模式之一。 展开更多
关键词 玉米 非洲种质 种质改良
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Validating the Role of African Indigenous Vegetables for Food and Nutrition Security in Uganda 被引量:1
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作者 Bosco Bua Christopher Onang 《Journal of Food Science and Engineering》 2017年第6期316-322,共7页
African indigenous vegetables (AIVs) play an important role in house hold food and nutrition security among many communities in Uganda. However, there is limited information on the value chain. Yet, the contribution... African indigenous vegetables (AIVs) play an important role in house hold food and nutrition security among many communities in Uganda. However, there is limited information on the value chain. Yet, the contribution of AIVs in terms of food and nutrition security is undisputable. A cross sectional survey targeting 60 respondents including farmers, key informants and extension officers was conducted to assess the systems of production system of the AIVs, profile an inventory and diversity of the cultivated AIVs in Agweng sub-county, Lira district. Semi-structured questionnaires and direct field observation were used to gather the necessary data. The findings revealed that AIVs form a very important part of the diets of the local populace both during the normal and off seasons as well as hard times among others. However, a number of constraints were reported to hinder the AIVs value chain including lack of quality seed, competition from exotic vegetables, low market demand, pests and diseases infestation, among others. The most commonly cultivated and consumed vegetables were cowpeas, hibiscus, pumpkins and crotolaria among others. The reasons for cultivation and consumption included source of food, high nutritive value and short maturity period. Other reasons were medicinal, resistance to pests and diseases, source of cash income and resilient to harsh weather conditions. In contrast, lack of quality seeds, bitterness, low market demand and difficulty in preparation contributed to their neglected use. Therefore, in the wake of climate change and variability there is need for deliberate investment to improve adaptability and acceptance of these vegetables. There is also need for sensitization of farmers on the benefits of AIVs, developing an effective means of improved seed production and distribution to replace the farmer-to farmer seed exchange and conservation of AIVs germplasm as the strategies to improve AIVs production in the study area. 展开更多
关键词 ACCEPTANCE CONSUMPTION CONSTRAINTS value chain
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