中国农业气象 ›› 2026, Vol. 47 ›› Issue (6): 907-920.doi: 10.3969/j.issn.1000-6362.2026.06.008

• 农业生物气象栏目 • 上一篇    下一篇

不同海拔下青贮玉米−大豆带状间作群体干物质积累对行比 密度互作的响应

刘欣,顾米嫦,封亮,雍太文,杨文钰,王小春   

  1. 四川农业大学农学院/农业农村部西南作物生理生态与耕作重点实验室/四川省作物带状复合种植工程技术研究中心,成都 611130
  • 收稿日期:2025-05-10 出版日期:2026-06-20 发布日期:2026-06-18
  • 作者简介:刘欣,E-mail:1185816268@qq.com
  • 基金资助:
    国家重点研发计划项目(2022YFD1100203);四川省“育种攻关”科技计划项目(2021YFYZ0005)

Dry Matter Accumulation Response to Row Ratio−density Interactions in Silage Maize−soybean Strip Inter−cropping Systems under Different Altitudes

LIU Xin, GU Mi-chang, FENG Liang, YONG Tai-wen, YANG Wen-yu, WANG Xiao-chun   

  1. College of Agronomy, Sichuan Agricultural University/Key Laboratory of Crop Ecophysiology and Farming System in Southwest China, Ministry of Agriculture and Rural Affairs/Sichuan Engineering Research Center for Crop Strip Intercropping System, Chengdu 611130, China
  • Received:2025-05-10 Online:2026-06-20 Published:2026-06-18

摘要:

为揭示不同海拔下带状间作群体干物质积累(DMA)对青贮玉米-大豆行比和玉米种植密度的动态响应特征,实现对青贮玉米-大豆带状间作群体干物质积累的有效预估,于20232024年在四川省凉山州美姑县开展大田试验,试验采用三因素区设计,设置3个海拔梯度(1600m2000m2400m)、2青贮玉米-大豆行比(2:3和2:4)3青贮玉米种植密度(52500·hm−2、67500·hm−282500·hm−2),测定18处理下青贮玉米6生育的青贮玉米大豆单株干物质。利用归一化法,通过模型筛选拟合不同海拔下行比密度水平青贮玉米−大豆群体干物质基于有效积温的Richards模型,利用干物质积累速率曲线定量分析不同海拔行比密度互作下青贮玉米−大豆群体DMA动态特征与积温的关系。结果表明有效积温是影响不同海拔青贮玉米−大豆带状间作群体吐丝前后干物质积累的关键气象因子。以相对有效积温为自变量的干物质积累动态模拟模型即Richards模型,方程拟合度为R2=0.9967,可较好地拟合青贮玉米−大豆带状间作群体干物质积累动态。DMA表现为随海拔升高而增加,行比表现为2:3处理大于2:4处理;群体相对干物质积累速率(RV)分为缓慢增加阶段0.0~0.2快速增加阶段(0.2~0.7)和下降阶段(0.7~1.0。随海拔升高,RV缓慢增加阶段,群体所需有效积温先降后升,RV快速增加阶段,群体所需有效积温逐渐增加,RV下降阶段,群体所需有效积温先降后升;最大群体相对干物质积累速率表现为高海拔>低海拔>中海拔处理,3个海拔下最大群体相对干物质积累速率行比2:3处理分别比2:4处理高3.52%6.36%6.41%,中密度分别比低密度处理高1.96%5.47%6.52%,适宜行比和玉米种植密度互作对提高RV有促进作用;低海拔地区全生育期内的青贮玉米大豆群体相对干物质平均积累速率(ARV)在不同行比间表现无显著差异,中、高海拔地区ARV在不同行比间表现为2:3显著高于2:4;低海拔地区ARV随种植密度增加逐渐增加,中、高海拔地区ARV随种植密度增加先升后降。

关键词: 海拔, 行比, 密度, 青贮玉米?大豆带状间作, 有效积温, 干物质积累, 平均速率

Abstract:

To reveal the dynamic responses of dry matter accumulation (DMA) to silage maize−soybean row ratios and maize planting densities across different altitudes, thereby enabling effective prediction of DMA for this cropping system. A two−year field experiment (2023−2024) in Meigu county, Sichuan province, China was conducted. The experiment adopted a threefactor splitplot design with three altitude levels (1600m, 2000m and 2400m), two maize−soybean row ratios (2:3 and 2:4), and three maize planting densities (52500, 67500 and 82500plants·ha−1). Monocrop dry matter of silage maize and soybeans was determined at six growth stages of silage maize under 18 treatments. Using normalization methods and based on effective accumulated temperature (EAT), a Richards model for DMA in silage maize−soybean intercropping system was fitted through model screening under different altitudes and row ratio−density interactions. In addition, a DMA rate curve was employed to quantitatively analyze the relationship between EAT and DMA dynamics under different altitudes, row ratios and maize density. The results showed that EAT emerged as the key meteorological factor regulating both DMA pre− and postsilking in silage maize−soybean strip intercropping systems at different altitudes. A dynamic simulation model of DMA using relative effective accumulated temperature as the independent variable Richards model:  was developed, with fitting degree(R2)of 0.9967, which could well fit the dynamic of DMA in silage maize−soybean strip inter−cropping. DMA increased with rising altitude, and the 2:3 row ratio treatment exhibited higher DMA than the 2:4 treatment. The population relative dry matter accumulation rate (RV) was divided into three phases: a slow increase phase (0.0−0.2), a rapid increase phase (0.2−0.7) and a decline phase (0.7−1.0). With increasing altitude, the EAT requirement showed phase−dependent variability: it first decreased and then increased during the slow increase phase, gradually increased during the fast increase phase and decreased before increasing again during the decline phase. The maximum relative DMA rate followed the order: high altitude>low altitude>medium altitude. Under the three altitudes, the maximum population relative dry matter accumulation rates in the 2:3 row ratio treatment were 3.52%, 6.36%, and 6.41% higher than those in the 2:4 treatment, and the medium density resulted in 1.96%, 5.47%, and 6.52% greater increases compared to the low density, respectively, indicating that optimal row ratio and maize density interactions could enhance the RV. Throughout the whole growth period, the relative dry matter average accumulation rate (ARV) of silage maize−soybean intercrops did not differ significantly between row ratios at low altitude. In contrast, at medium and high altitudes, the 2:3 row ratio led to significantly higher ARV than the 2:4 ratioRegarding the plant density, ARV at low altitudes gradually decreased with increasing density, while at medium and high altitudes, it first increased and then decreased with increasing planting density.

Key words: Altitude, Row ratio, Density, Silage maize?soybean strip inter?cropping, Effective accumulated temperature, Dry matter accumulation, Mean rate