Adaptive Approach in Maize Breeding for the Urals Region

Q4 Biochemistry, Genetics and Molecular Biology International Journal of Biology and Biomedical Engineering Pub Date : 2020-06-14 DOI:10.46300/91011.2020.14.9
A. Panfilov, N. N. Zezin, N. Kazakova, M. A. Namyatov
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引用次数: 4

Abstract

Middle and Southern Urals’ maize growing area is characterised by a wide range of edaphoclimatic conditions and by a variety of factors which may limit growth and development of maize. The factors may vary from severe warmth shortage in the North of the region to sharp aridity in the South. Consequently, fast-ripening maize breeding is dictated by limited heat resources. Depending on the growing area and the purpose of the crops (silage or corn), hybrids adapted for the regions must be characterised within the limits of 110 and 170 according to FAO classification. The purpose of the research is to measure ultra-early maize hybrids’ adaptability within forest-meadow and forest steppe zones of the Middle and the South Urals on maize’s growth stability and ripening, crop productivity and grain moisture at harvest. During the period from 1999 to 2019 experimental hybrid combinations and FAO 100-120 type industrial hybrids were assessed. These hybrids were created with the use of a local maize variety of Northern Caucasia, West Siberia and foothill areas of the Republic of Altay as a source material. Local maize varieties of Northern Caucasia, West Siberia and foothill areas of the Republic of Altay were used as initial material to create these hybrids. As a result of these three research phases early blossom maize varieties’ competitive advantages were discovered. These varieties’ grain formation and grain filling last within a favourable temperature background and have their biological ripeness before diurnal temperature achieves biological minimum required for maize growth. This advantage ensures minimum grain moisture at harvest and maximum genetic potentiality’s productivity implementation thanks to grain filling of full value. This advantage also assures high starch content and highly digestible energy concentration in dry matter. It has been established that ultra-early hybrids’ cultivation is the main condition to obtain high energy fodder in northern areas of the Urals despite of minor gross productivity loss. Commercial maize hybrids F1 Koubanskii 101 SV and Koubanskii 102 MV pass development stages from sprouts to ear corn blossom within the limits of 44 to 58 days depending on the vegetation period conditions. These hybrids’ cultivation in forest-steppe areas is of importance to produce dried and canned corn. Forest-meadow cultivation is of importance to obtain high grain canned products and high energy silage
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乌拉尔地区玉米育种的适应性方法
乌拉尔中部和南部玉米种植区的特点是具有广泛的气候条件和各种可能限制玉米生长发育的因素。这些因素可能各不相同,从该地区北部的严重温暖短缺到南部的急剧干旱。因此,快熟玉米育种是由有限的热量资源决定的。根据种植面积和作物用途(青贮或玉米),适应该地区的杂交品种的特征必须在粮农组织分类的110和170范围内。本研究旨在研究超早玉米杂交种在中南乌拉尔森林-草甸和森林草原带对玉米生长稳定性和成熟性、作物生产力和收获期粮食水分的适应性。在1999年至2019年期间,对试验杂交组合和FAO 100-120型工业杂交组合进行了评估。这些杂交品种是利用北高加索、西西伯利亚和阿勒泰共和国山麓地区的当地玉米品种作为原料创造的。北高加索、西西伯利亚和阿勒泰共和国山麓地区的当地玉米品种被用作创造这些杂交品种的初始材料。通过这三个阶段的研究,发现了早熟玉米品种的竞争优势。这些品种的籽粒形成和灌浆在有利的温度背景下持续,在昼夜温度达到玉米生长所需的生物最低温度之前就达到生物成熟。这一优势确保了收获时最低的谷物水分和最大的遗传潜力的生产力实现,这要归功于籽粒的充分灌浆。这一优势也保证了干物质中的高淀粉含量和高可消化能量浓度。在乌拉尔北部地区,超早杂交是获得高能量饲料的主要条件,但总生产力损失较小。商品玉米杂交种F1库班斯基101 SV和库班斯基102 MV根据不同的生长期条件,在44 ~ 58天内完成从芽到穗花的发育阶段。这些杂交种在森林草原地区的栽培对生产干玉米和罐装玉米具有重要意义。林草复合栽培是获得高谷物罐头产品和高能量青贮饲料的重要途径
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来源期刊
International Journal of Biology and Biomedical Engineering
International Journal of Biology and Biomedical Engineering Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
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42
期刊介绍: Topics: Molecular Dynamics, Biochemistry, Biophysics, Quantum Chemistry, Molecular Biology, Cell Biology, Immunology, Neurophysiology, Genetics, Population Dynamics, Dynamics of Diseases, Bioecology, Epidemiology, Social Dynamics, PhotoBiology, PhotoChemistry, Plant Biology, Microbiology, Immunology, Bioinformatics, Signal Transduction, Environmental Systems, Psychological and Cognitive Systems, Pattern Formation, Evolution, Game Theory and Adaptive Dynamics, Bioengineering, Biotechnolgies, Medical Imaging, Medical Signal Processing, Feedback Control in Biology and Chemistry, Fluid Mechanics and Applications in Biomedicine, Space Medicine and Biology, Nuclear Biology and Medicine.
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