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Maize-legume Intercropping Achieves Yield Advantages by Improving Leaf Functions and Dry Matter Partition by Zhidan Fu; Ping Chen; Xiaona Zhang; Qing Du; Benchuan Zheng; Huan Yang; Kai Luo; Ping Lin; Yiling Li; Tian Pu; Yushan Wu; Xiaochun Wang; Feng Yang; Weiguo Liu; Chun Song; Wenyu Yang; Taiwen Yong is a Agricultural and Biological Sciences article available to read on EtoBox.
What is Maize-legume Intercropping Achieves Yield Advantages by Improving Leaf Functions and Dry Matter Partition about?
Intercropping can obtain yield advantages, but the mechanism of yield advantages of maize-legume intercropping is still unclear. Then, we explored the effects of cropping systems and N input on yield advantages in a two-year experiment. Cropping systems included monoculture maize (__Zea mays__ L.) (MM), monoculture soybean (__Glycine max__ L. Merr.) (MS), monoculture peanut (__Arachis hypogaea__ L.) (MP), maize-soybean substitutive relay intercropping (IMS), and maize-peanut substitutive strip intercropping (IMP). N input included without N (N0) and N addition (N1). Results showed that maize’s leaf area index was 31.0% and 34.6% higher in IMS and IMP than in MM. The specific leaf weight and chlorophyll a (chl a) of maize were notably higher by 8.0% and 18.8% in IMS, 3.1%, and 18.6% in IMP compared with MM. Finally, N addition resulted in a higher thousand kernels weight of maize in IMS and IMP than that in MM. More dry matter accumulated and partitioned to the grain, maize's averaged partial land equivalent ratio and the net effect were 0.76 and 2.75 t ha^−1^ in IMS, 0.78 and 2.83 t ha^−1^ in IMP. The leaf area index and specific leaf weight of intercropped soybean were 16.8% and 2
Who reads Maize-legume Intercropping Achieves Yield Advantages by Improving Leaf Functions and Dry Matter Partition?
It is typically read by researchers, students, and practitioners in Agricultural and Biological Sciences.
- Author
- Zhidan Fu; Ping Chen; Xiaona Zhang; Qing Du; Benchuan Zheng; Huan Yang; Kai Luo; Ping Lin; Yiling Li; Tian Pu; Yushan Wu; Xiaochun Wang; Feng Yang; Weiguo Liu; Chun Song; Wenyu Yang; Taiwen Yong
- Publisher
- Springer Science and Business Media LLC
- Published
- 2023
- Language
- EN
- Field
- Agricultural and Biological Sciences (Life Sciences)