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全国秋粮收获过五成!新技术和新品种促进大豆单产提升
Sou Hu Cai Jing· 2025-10-11 11:48
种植户提到的大豆提质固氮增产新技术是中国农业科学院油料作物研究所专家团队历经20多年研究而 成,具有诱导高效结瘤固氮、促进根系发育和植株生长、提质增产等效果,去年被遴选为全国十大农业 重大引领性技术,目前在黑龙江、内蒙古、湖北、河南、山东大豆产区开展千亩方、万亩片和10万亩片 示范应用,大豆平均每亩增收约400元。 此外,在各大豆主产区,一批高油、高产、抗高温干旱大豆新品种正在推广种植,集成种子包衣、合理 密植等高产高效栽培技术,推广示范区亩产超300公斤。 (央视财经《天下财经》)记者从农业农村部了解到,截至10月10日,全国秋粮收获过五成,其中大豆 收获五成半。在新技术和新品种的助推下,大豆单产水平明显提升。 在黑龙江省肇东市千亩大豆种植基地,收割机来回穿梭收获着新季大豆,来自全国农技推广服务中心、 各地科研院所的农业专家组正在对这个中轻度盐碱地田块进行实收测产,结果显示:大豆亩产达到 393.98斤。 黑龙江省肇东市大豆种植户 孙庆昌:农场都是盐碱地,以前(亩)产量就没有突破过350斤,今年用的 技术主要是密植、菌剂技术,今年产量有了明显突破。 编辑:王昕宇 全国农业技术推广服务中心经济作物处处长 汤松 ...
打破欧美国家垄断!我国研制出系列牛用基因芯片,能让奶牛生产出优质牛奶【附基因测序技术分析】
Qian Zhan Wang· 2025-07-22 09:27
Core Viewpoint - The successful development of genome-based embryo genetic evaluation chips and high-performance genomic prediction chips by the National Dairy Technology Innovation Center marks a significant advancement in China's dairy breeding industry, transitioning from a follower to a leader in this field [2] Group 1: Technological Advancements - The newly developed genomic chips fill a gap in China's genetic evaluation technology for dairy cattle, which was previously dominated by developed countries [2] - The new chips enhance detection efficiency by over four times compared to traditional whole-genome sequencing, while reducing costs to one-fifth of previous methods [2] - The chips utilize machine learning and algorithm models, leveraging data from 96 large-scale farms and over 600,000 dairy cows to analyze genetic fingerprints [2] Group 2: Market Context - The Chinese gene sequencing market has seen rapid growth, with the market size increasing from less than 10 billion yuan to over 24 billion yuan from 2016 to 2022, reflecting a compound annual growth rate of over 20% [4] - The high technical barriers in gene sequencing mean that only a few companies, such as Illumina, Thermo Fisher, and BGI, have mass production capabilities [5] Group 3: Future Developments - The National Dairy Technology Innovation Center plans to develop a series of functional genetic testing chips focusing on local dairy cattle breeds, addressing breeding, milk production, and health indicators, while also exploring genetic traits for low carbon emissions and heat stress resistance [9]