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冷凉山区稻田改种玉米高产栽培技术 被引量:3
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作者 杨家贵 牛文武 +2 位作者 杨和团 许金波 尹开庆 《作物杂志》 CAS CSCD 北大核心 2009年第5期99-100,共2页
云南省保山市海拔1 800m以上的冷凉山区常年种植水稻,但单产低,仅1 500~5 250kg/hm2。保山市农业科学研究所通过技术创新,在该地区研制推广稻田改种玉米技术,取得了显著的增产效果,是冷凉山区粮食持续增长的一条新增产途径。
关键词 冷凉山区 稻田改种玉米 栽培技术
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梅河口市水田改种玉米存在的问题及对策
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作者 李福林 刘学玲 +3 位作者 姜立雁 王振萍 张健 董本春 《现代农业科技》 2019年第19期42-43,共2页
水田改种玉米是农民节水增收的重要措施。本文阐述了梅河口市水田改种玉米的现状,指出了存在的问题,提出了高产栽培对策,以期为农民水田改种玉米高产栽培提供参考。
关键词 水田改种玉米 现状 问题 对策 吉林梅河口
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洪灾后不同播期对改种玉米生育特性影响的探讨
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作者 顾长善 李开江 王志勇 《农村科学实验》 2022年第1期175-177,共3页
1)自2011年7月22日始,洪灾过后改种玉米播每推迟期1d,成熟期平均推迟3.62d,吐丝期推迟2.25d;2)秋玉米生育期内日均温每下降1℃对产量灌浆结实的影响表现为,吐丝至成熟的历期则延长3.43d,成熟期推迟10.02d;3)灾后不同播期影响秋玉米产量... 1)自2011年7月22日始,洪灾过后改种玉米播每推迟期1d,成熟期平均推迟3.62d,吐丝期推迟2.25d;2)秋玉米生育期内日均温每下降1℃对产量灌浆结实的影响表现为,吐丝至成熟的历期则延长3.43d,成熟期推迟10.02d;3)灾后不同播期影响秋玉米产量构成,表现为每推迟播种1d,每穗结实粒数平均减少13.9粒,千粒重平均减少6.71g,理论单产减少51.83kg/667m^(2);4)随着生育期内日平均温度的下降,对灾后改种玉米产量构成的影响,表现为日均温度每下降1℃,每穗减少实粒数40.16粒,千粒重减少17.08g,理论单产减少100.43kg/667m^(2)。 展开更多
关键词 洪灾 播期 改种玉米 生育特性 影响
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The Ways to Improve the Efficiency of Maize Breeding 被引量:1
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作者 张旭 刘晓萍 +4 位作者 郝学景 李立公 魏春 何光荣 马永良 《Agricultural Science & Technology》 CAS 2010年第9期175-179,共5页
Referring to corn breeding literature at home and abroad,the possible ways to improve the efficiency of maize breeding were discussed.The results showed that through the summary and reflection on breeding objectives a... Referring to corn breeding literature at home and abroad,the possible ways to improve the efficiency of maize breeding were discussed.The results showed that through the summary and reflection on breeding objectives and strategies,and improvement and optimization of breeding techniques and methods,as well as adjustment and simplification of experimental design and implementation,the breeding cost would be greatly reduced,and the breeding efficiency would be improved. 展开更多
关键词 MAIZE Breeding method Improving ways
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Impediments to New Improved Maize Variety Testing and Release in Selected Countries in Sub-Saharan Africa
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作者 P. S. Setimela B. Badu-Apraku W. Mwangi 《Journal of Agricultural Science and Technology》 2010年第6期79-85,共7页
Before farmers can benefit from new improved maize varieties with novel genetic information, new maize varieties have to undergo performance testing, registration and approval. The registration procedures require that... Before farmers can benefit from new improved maize varieties with novel genetic information, new maize varieties have to undergo performance testing, registration and approval. The registration procedures require that new maize varieties must pass the tests for value for cultivation and use (VCU) and standardized tests for distinctness, uniformity and stability (DUS). To meet the minimum requirements for variety release, public and private sector maize breeding programs routinely assemble breeding nurseries and evaluate variety performance in National and Regional Performance Trials (NRPT) with the objective of generating important agronomic data to identify the best maize varieties for release. In spite of intensive variety evaluation in regional and national trials, only few maize varieties have been registered and released annually in sub-Saharan Africa (SSA) denying farmers access to new improved varieties. The purpose of this study was to identify constraints hampering the registration and release of elite maize gennplasm and make recommends on how to quicken the deployment of elite germplasm to smallholders' farmers. A survey was conducted on the varietal testing and release systems in 14 selected countries (Angola, Benin, Ethiopia, Malawi, Ghana, Mali, Mozambique, Nigeria, Tanzania, Kenya, South Africa, Uganda, Zambia, and Zimbabwe) in SSA. The results from the study show that regulations on variety testing and release procedures in the various countries are overlapping and rigid hindering the deployment and commercialization of new improved maize germplasm. The study also showed that varietal release rates fluctuated between countries with South Africa having the highest number of varietal release rates per year and some countries failing to release a single variety per year. 展开更多
关键词 DUS maize VCU variety release seed regulations improved varieties.
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Evaluating the Impact of Adoption of Improved Maize Varieties on Yield in Uganda: A Propensity Score Matching Approach
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作者 Margaret Nabasirye Barnabas Kiiza George Omiat 《Journal of Agricultural Science and Technology(B)》 2012年第3期368-377,共10页
The main objective of this study was to evaluate the impact of adopting improved maize varieties on crop yield in Uganda using propensity score matching (PSM) algorithms to control for hidden selection bias. The stu... The main objective of this study was to evaluate the impact of adopting improved maize varieties on crop yield in Uganda using propensity score matching (PSM) algorithms to control for hidden selection bias. The study employed cross-sectional household data collected in 2005/2006 by the Uganda Bureau of Statistics (UBOS) across the country. Data were divided into two parts; the full sample and smallholder farmer sub-sample (those that cultivated less than 5 acres or 2 Hectares of maize in 2004 and 2005). Then estimation was made of the difference in yields between the adopters and non adopters, the average treatment effect on the treated (ATT) for the full sample and smallholder farmer sub-sample. Matching methods were used to control for hidden selection bias and the standardized bias measure was used to check for the quality of matching. The results indicate that adoption of improved maize seed had a robust positive and significant effect on yields obtained by farmers. The results were consistent for both the full and smallholder farmer sub-samples. Sensitivity analysis using Rosenbaum bounds indicated that the ATT results were fairly robust to hidden selection bias. That is, the results were not sensitive to unobserved selection bias. Therefore it is confidently asserted that the estimated average difference in maize yields between the adopters and non-adopters was due to the effect of planting improved maize seed. 展开更多
关键词 ADOPTION impact evaluation improved maize seed propensity score matching Uganda.
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