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科学家利用Videometer多光谱成像系统发表提高紫花苜蓿种子产量文章
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来源:北京博普特科技有限公司
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刚刚,来自中国的科学家利用Videometer多光谱成像系统发表了题为“Optimizing drip irrigation managements to improve alfalfa seed yield in semiarid region”的文章,文章发表在Agricultural Water Management ( IF 6.7 )上。
优化滴灌管理、提高半干旱地区紫花苜蓿种子产量
紫花苜蓿是一种重要的饲料作物,由于干旱和土壤盐碱化,半干旱地区的种子生产面临巨大挑战。为了应对这一挑战,在中国西北地区开展了一项为期五年的田间试验,以评估不同滴灌线深度和不同灌溉时间处理的地下滴灌(SSDI)对紫花苜蓿种子产量、产量成分、灌溉用水效率(IWUE)和种子质量的影响。研究表明,与地表滴灌相比,10 cm深度的SSDI使种子产量增加了48%,并且还获得了最高的IWUE,同时对土壤的干扰最小。虽然在枝条、盛开和结荚阶段灌溉导致种子产量和IWUE增加,但在生育期间容易受到气候波动的影响。随机森林模型表明,灌溉时间和数量是决定产量构成和种子产量的关键因素。气候因素,特别是温度和降水,在每个地点都发挥了重要作用。灌溉时间可能会对种子大小、叶绿素和多光谱成像分析的蛋白质浓度产生影响。线性判别分析模型表明,不同灌溉时间处理的种子总体质量差异不显著,但种子成熟时间延长,以获得最佳灌溉时间处理。因此,在10厘米的深度安装灌溉管线并确保在分枝和盛开阶段进行灌溉是必不可少的,而在豆荚设置阶段的灌溉是可选的,以显著提高紫花苜蓿的种子产量。RF模型结合气象和灌溉管理因素,可以确定影响种子产量的关键因素。本研究可为半干旱地区紫花苜蓿种子生产提供有价值的理论和实践启示。
Optimizing drip irrigation managements to improve alfalfa seed yield in semiarid region
Agricultural Water Management ( IF 6.7 ) Pub Date : 2024-04-18 , DOI: 10.1016/j.agwat.2024.108830
Zhicheng Jia , Chengming Ou , Shoujiang Sun , Ming Sun , Yihong Zhao , Changran Li , Shiqiang Zhao , Juan Wang , Shangang Jia , Peisheng Mao
Alfalfa, a crucial forage crop, encounters substantial challenges in seed production in semi-arid regions due to drought and soil salinization. To address this challenge, a five-year field experiment was conducted in northwestern China to evaluate the effects of subsurface drip irrigation (SSDI) at different drip line depths and with different irrigation time treatments on alfalfa seed yield, yield components, irrigation water use efficiency (IWUE) and seed quality. The study indicated that SSDI at a depth of 10 cm resulted in a 48% increase in seed yield compared to surface drip irrigation and also obtained the highest IWUE with minimal soil disturbance. While irrigation during the branch, full bloom and pod set stages led to increasing for seed yield and IWUE, it was susceptible to climatic fluctuations during the growth period. Random forest modeling revealed that the timing and quantity of irrigation were key factors that determined yield components and seed yield. Climatic factors, specifically temperature and precipitation, played a significant role at each location. Irrigation time could have an effect on seed size, chlorophyll, and protein concentration analyzed by multispectral imaging. Linear discriminant analysis modeling indicated no significant difference in overall seed quality among the different irrigation time treatments, but prolonged seed maturation for the optimal irrigation time treatment. Therefore, installing the irrigation line at a depth of 10 cm and ensuring irrigation during the branching and full bloom stages were essential, while irrigation at the pod set stage was optional, for significantly improving the seed yield of alfalfa. RF model combined with the meteorology and irrigation management factors could determine key factors for the effect on seed yield. This research would provide valuable theoretical and practical insights for alfalfa seed production in semi-arid regions.