草业学报2024,Vol.33Issue(8):50-62,13.DOI:10.11686/cyxb2023355
陇东旱塬区5个饲用甜高粱品种生产适宜性评价
Suitability of five forage sweet sorghum varieties for production in the dry plateau area of Longdong
摘要
Abstract
The aim of this study was to select productive and high-quality forage sweet sorghum (Sorghum bicolor) varieties suitable for cultivation in the Longdong dry Loess Plateau area.A field trial was conducted in 2021-2022 to compare five sweet sorghum varieties in terms of their agronomic traits,dry matter accumulation and partitioning,forage quality,and water-and nitrogen-use efficiencies.The results showed that the variety had significant (P<0.05) effects on the major agronomic traits,forage quality,and water-and nitrogen-use efficiencies of forage sweet sorghum.Among the tested varieties,'Lvjuren' had the greatest plant height and stem thickness at harvest (average of 344.9 cm and 24.2 mm,respectively,over the 2 years).'Hainiu' had the largest leaf area index (2-year average,3.6),whereas 'Lvjuren' had the highest fresh and hay yields (2-year averages of 78.4 and 22.1 t·ha-1,respectively).'Daka' had the highest crude protein content (2-year average,7.6%).'Sealion' had the lowest contents of neutral detergent fiber and acid detergent fiber (2-year averages of 54.9% and 27.6%,respectively),but the highest relative forage value and relative forage quality (2-year averages of 115.5 and 158.1,respectively).The dry matter water-use efficiency and partial productivity of nitrogen fertilizer were both highest in 'Lvjuren' (2-year averages of 45.7 kg·ha-1·mm-1 and 122.7 kg·kg-1,respectively).This comprehensive evaluation of five sorghum varieties using the grey correlation analysis method showed that 'Lvjuren' is more suitable than other varieties for planting and popularizing in the Longdong dry Loess Plateau area.关键词
陇东旱塬区/饲用甜高粱/生产性能/饲用品质/灰色关联分析Key words
dry plateau area of Longdong/forage sweet sorghum/production performance/forage quality/grey correlation analysis引用本文复制引用
李中利,蒋丛泽,马仁诗,高玮,受娜,沈禹颖,杨宪龙..陇东旱塬区5个饲用甜高粱品种生产适宜性评价[J].草业学报,2024,33(8):50-62,13.基金项目
国家重点研发计划课题(2021YFD1100501),国家牧草产业技术体系(CARS-34),甘肃省自然科学基金(21JR7RA488)和兰州大学中央高校基本科研业务费专项资金(lzujbky-2021-14)资助. (2021YFD1100501)