生长环境条件对春面包小麦产量和制粉特性的影响

N. Vasylenko, I. Pravdziva
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引用次数: 0

摘要

意图测定Myronivka春面包小麦新品种的产量和制粉特性对不同生长季节条件的依赖性。方法。2017年至2019年,在NAAS的V.M.Remeslo Myronivka小麦研究所的条件下,对12个春面包小麦品种进行了研究。根据常规方法测定谷物和面粉的品质指标。后果研究发现,2019年的天气条件更有利于实现春小麦品种的产量潜力,但对品质指标有负面影响。通过超过标准“Elehiia myronivska”的30–40%,从产量上选择了品种“Bozhena”(4.23吨/公顷)、“Oksamyt myronivskyi”(4.28吨/ha)、“MIP Svitlana”(4.31吨/公顷。品种“Simkoda myronivska”、“MIP Zlata”、“Bozhena”、“MIP Vizerunok”和“MIP Oleksandra”是通过组合高物理指标的谷物品质而选出的。品种“Simkoda myronivska”、“Oksamyt myronivskyi”和“Panianka”通过复杂的最高面粉质量指标进行区分。鉴定了在个体性状方面最稳定的品种。这些是“Simkoda myronivska”、“MIP Zlata”、“Bozhena”、“Oksamyt myronivskyi”、“MIP Svitlana”和“MIP Oleksandra”。根据质量指标,特别是以1000粒重区分品种“Simkoda myronivska”、“MIP Vizerunok”;除“Elehiia myroniv­ska”、“Simkoda myronivska”和“MIP Oleksandra”外,大多数品种的籽粒透明性得分较高;从试验重量和面粉产量来看,所有品种都有较高的出粉率;根据蛋白质含量,对品种“Oksamyt-myronivskyi”进行了鉴别;品种“Dubravka”和“MIP Oleksandra”的湿面筋含量。方差分析表明,1000粒重(部分影响83.7%)、蛋白质含量(76.7%)、沉降值(66.7%)、面粉产量(52.6%)、面筋变形指数(46.0%)和湿面筋含量(42.6%)等参数对天气条件的依赖性最大;最依赖因素交互作用的年份品种的产量(52.3%)、颗粒透明度(50.5%)和试验重量(36.5%)。因子品种对产量(34.9%)和所有研究质量指标(5.1~35.1%)的可靠影响被揭示。结论。利用上述品种作为某些性状的来源,为不同的使用领域创造新的高产优质品种是有利的。
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Yielding capacity and flour-milling properties of spring bread wheat varieties depending on growing environmental conditions
Purpose. To determine the dependence of yield and flour-milling properties of new spring bread wheat varie­ties of Myronivka breeding on different growing season conditions. Methods. During 2017–2019, twelve spring bread wheat varieties were studied in the conditions of the V. M. Remeslo Myronivka Institute of Wheat of NAAS. Grain and flour qua­lity indicators were determined according to conventional methods. Results. It was found that weather conditions in 2019 were more favorable for realizing the yield potential of spring wheat varieties, but they had a nega­tive impact on quality indicators. By exceeding on 30–40% the standard ‘Elehiia myronivska’, the varieties – ‘Bozhena’ (4.23 t/ha), ‘Oksamyt myronivskyi’ (4.28 t/ha), ‘MIP Svitlana’ (4.31 t/ha), and ‘Dubravka’ (4.62 t/ha) were selected in terms of yield. The varieties ‘Simkoda myronivska’, ‘MIP Zlata’, ‘Bozhena’, ‘MIP Vizerunok’, and ‘MIP Oleksandra’ were singled out by the combination of high physical indicators of grain quality. The varieties ‘Simkoda myronivska’, ‘Oksamyt myronivskyi’, and ‘Panianka’ were distinguished by complex of the highest flour quality indicators. The varieties being the most stable in terms of individual characters were identified. These were ‘Simkoda myronivska’, ‘MIP Zlata’, ‘Bozhena’, ‘Oksamyt myronivskyi’, ‘MIP Svitlana’, and ‘MIP Oleksandra’ by yiel­ding capacity. According to quality indicators, in particular, by 1000 kernel weight, varieties ‘Simkoda myronivska’, ‘MIP Vizerunok’ were distinguished; high scores for grain vitreousness were in most varieties, except for ‘Elehiia myroniv­ska’, ‘Simkoda myronivska’, and ‘MIP Oleksandra’; according to test weight and flour yield, all varieties had high rates; according to the protein content, the variety ‘Oksamyt myronivskyi’ was distinguished; varieties ‘Dubravka’ and ‘MIP Oleksandra’ by wet gluten content. The ANOVA established that the most dependence on weather conditions was revealed for such parameters as 1000 kernel weight (part of influence 83.7%), protein content (76.7%), sedimentation value (66.7%), flour yield (52.6%), gluten deformation index (46.0%), and wet gluten content (42.6%); the most dependence on the interaction of factors year  variety was revealed for yielding capacity (52.3%), the grain vitreousness (50.5%), and the test weight (36.5%). A reliable effect of the factor variety on yield (34.9%) and all investigated quality indicators (5.1–35.1%) was revealed. Conclusions. It is expedient to use the varieties listed above as sources of certain traits for the creation of new high-yielding and high-quality varieties for different areas of use.
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