用作物结构元素评价小黑麦品种样品

N. Sokolenko, N. M. Komarov
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引用次数: 0

摘要

小黑麦的育种改良需要寻找杂交遗传资源。本研究旨在鉴定冬季小黑麦高产基因型,确定结构因素对该指标的影响,以优化育种过程中的选择。2014-2018年,北高加索联邦农业研究中心对50种小黑麦样本进行了研究。土壤-普通黑钙土,中壤土,中厚,低腐殖质。黑色休耕区先于所有× triticcoscale Wittmack样品。这个实验只进行了一次重复。该地块面积为1平方米。小黑麦品种“瓦伦丁90”作为标准。我们鉴定了25个中、高产品种。籽粒产量第一组低于第二组,分别为784±191 g/m2和1024±202 g/m2。在颖花数(32.0±2.17)和穗粒数(31.2±2.18)、穗粒数(69.1±13.0)和穗粒重(64.5±10.6)和穗粒重(3.26±0.61和3.00±0.61 g)上,高产品种均超过中产品种,产量和穗粒重差异显著(Cv > 20%)。穗大小、穗粒数、穗粒数、千粒重和小黑麦穗密度变化不大(Cv > 10%)。最稳定的性状是穗粒数(Cv < 10%)。产量与每穗粒数(r = 0.18±0.06)、产量与穗数(r = 0.22±0.06)、单穗粒重(r = 0.29±0.06)呈弱正相关。在高产品种样品组,产量与穗粒数(r = - 0.32±0.08)、穗密度(r = - 0.24±0.09)呈可靠的弱负相关。籽粒产量超过1000克/平方米的品种样品如下:‘Ugo’、‘RAH 121/04’、‘Kitaro’、‘Tewo’、‘Ratne’、‘Slavetne’、‘Adas’、‘Dar Belorussii’、‘Dinamo’、‘Dinaro’、‘Liniya 71’、‘Lamberto’、‘PRAG 203/1’、‘Nemchinovsky 1’和‘Valentin 90’(标准)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of triticale variety samples by crop structure elements
Breeding improvement of triticale requires the search for genetic sources for hybridization. Our research aims at identifying high-yielding genotypes of winter triticale and determining the influence of structural elements on this indicator to optimizing selection during the breeding process. In 2014–2018, fifty variety samples of triticale were studied in the North Caucasus Federal Agricultural Research Centre. Soil – ordinary chernozem, medium loamy, medium-thick, low-humus. Black fallow preceded all × Triticosecale Wittmack samples. The experiment was laid having only one replication. The area of the plot was 1 m2. Triticale variety ‘Valentin 90’ served as a standard. We identified 25 medium-yielding and 25 high-yielding varieties. Grain yield in the first group was lower than in the second one and amounted to 784 ± 191 g/m2 and 1024 ± 202 g/m2, respectively. High-yielding samples exceeded the average-yielding ones in the number of spikelets (32.0 ± 2.17 and 31.2 ± 2.18 pieces), grains per ear (69.1 ± 13.0 and 64.5 ± 10.6 pieces) and weight of grain per ear (3.26 ± 0.61 and 3.00 ± 0.61 g). The yield and weight of grain per ear vary significantly (Cv > 20 %). Ear size, number of grains in the ear and spikelet, 1000 grain weight and triticale ear density do not vary much (Cv > 10 %). The most stable trait is the number of spikelets per ear (Cv < 10 %). A weak positive correlation was observed between the yield and number of grains per spikelet (r = 0.18 ± 0.06), yield and ear (r = 0.22 ± 0.06), as well as yield and weight of grain per ear (r = 0.29 ± 0.06). In the group of high-yielding variety samples, there was a reliable weak negative correlation between the yield and number of spikelets per ear (r = −0.32 ± 0.08), between the yield and ear density (r = −0.24 ± 0.09). Grain yield of more than 1.000 g/m2 had the following variety samples – ‘Ugo’, ‘RAH 121/04’, ‘Kitaro’, ‘Tewo’, ‘Ratne’, ‘Slavetne’, ‘Adas’, ‘Dar Belorussii’, ‘Dinamo’, ‘Dinaro’, ‘Liniya 71’, ‘Lamberto’, ‘PRAG 203/1’, ‘Nemchinovsky 1’ and ‘Valentin 90’ (standard).
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