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Journal of Integrative Agriculture  2021, Vol. 20 Issue (2): 363-370    DOI: 10.1016/S2095-3119(20)63363-9
Section 1: Using modeling method to evaluate yield and efficiency gaps Advanced Online Publication | Current Issue | Archive | Adv Search |
Reducing maize yield gap by matching plant density and solar radiation
LIU Guang-zhou1*, LIU Wan-mao2*, HOU Peng1, MING Bo1, YANG Yun-shan2, GUO Xiao-xia2, XIE Rui-zhi1, WANG Ke-ru1, LI Shao-kun1
1 Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture and Rural Affairs/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China 
2 The Key Laboratory of Oasis Eco-agriculture, Xinjiang Production and Construction Corps/College of Agronomy, Shihezi Univerisy, Shihezi 832000, P.R.China
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Abstract  Yield gap exists because the current attained actual grain yield cannot yet achieve the estimated yield potential. Chinese high yield maize belt has a wide span from east to west which results in different solar radiations between different regions and thus different grain yields. We used multi-site experimental data, surveyed farmer yield data, the highest recorded yield data in the literatures, and simulations with Hybrid-Maize Model to assess the yield gap and tried to reduce the yield gap by matching the solar radiation and plant density. The maize belt was divided into five regions from east to west according to distribution of accumulated solar radiation. The results showed that there were more than 5.8 Mg ha–1 yield gaps between surveyed farmer yield and the yield potential in different regions of China from east to west, which just achieved less than 65% of the yield potential. By analyzing the multi-site density experimental data, we found that the accumulated solar radiation was significantly correlated to optimum plant density which is the density with the highest yield in the multi-site density experiment (y=0.09895x–32.49, P<0.01), according to which the optimum plant densities in different regions from east to west were calculated. It showed that the optimum plant density could be increased by 60.0, 55.2, 47.3, 84.8, and 59.6% compared to the actual density, the grain yield could be increased by 20.2, 18.3, 10.9, 18.1, and 15.3% through increasing plant density, which could reduce the yield gaps of 33.7, 23.0, 13.4, 17.3, and 10.4% in R (region)-1, R-2, R-3, R-4, and R-5, respectively. This study indicates that matching maize plant density and solar radiation is an effective approach to reduce yield gaps in different regions of China.
Keywords:  maize       yield gap       yield potential       matching density and radiation  
Received: 07 April 2020   Accepted: 28 January 2021
Fund: This work was supported by the National Key Research and Development Program of China (2016YFD0300110, 2016YFD0300101), the National Natural Science Foundation of China (31871558) and the National Basic Research Program of China (973 Program, 2015CB150401).
Corresponding Authors:  Correspondence LI Shao-kun, Tel/Fax: +86-10-82108891, E-mail: lishaokun@caas.cn; HOU Peng, Tel/Fax: +86-10-82108595, E-mail: houpeng@caas.cn    
About author:  LIU Guang-zhou, Tel: +86-10-82108595, E-mail: liugz89@163.com;

Cite this article: 

LIU Guang-zhou, LIU Wan-mao, HOU Peng, MING Bo, YANG Yun-shan, GUO Xiao-xia, XIE Rui-zhi, WANG Ke-ru, LI Shao-kun. 2021. Reducing maize yield gap by matching plant density and solar radiation. Journal of Integrative Agriculture, 20(2): 363-370.

Alfaro C A T, Fonseca A R, Farias E V, Corral Y A R. 2008. Stand arrangement of maize hybrids, leaf area index and seed yield. Agricultura Técnica en México, 34, 271–278. Al-Naggar A M M, Shabana R, Atta M M M, Al-Khalil T H. 2015. Optimum plant density for maximizing yield of six inbreds and their F1 crosses of maize (Zea mays L.). Journal of Advances in Biology & Biotechnology, 2, 174–189. Andelkovic V, Babic V, Kravic N. 2017. Genetic resources in maize breeding. Selekcija i Semenarstvo, 23, 37–48. (in Latin) Assefa Y, Prasad P V V, Carter P, Hinds M, Bhalla G, Schon R, Jeschke M, Paszkiewica S, Ciampitti I A. 2016. Yield responses to planting density for US modern corn hybrids: A synthesis-analysia. Crop Science, 56, 2802–2817. Bailey S J, Parker J E, Ainsworth E A, Oldroyd G E D, Schroeder J I. 2019. Genetic strategies for improving crop yields. Nature, 575, 109–118. Beza E, Silva J V, Kooistra L, Reidsma P. 2017. Review of yield gap explaining factors and opportunities for alternative data collection approaches. European Journal of Agronomy, 82, 206–222. Bhatia V S, Singh P, Wani S P, Chauhan G S, Rao A V R K, Mishra A K, Sriniuas K. 2008. Analysis of potential yields and yield gaps of rainfed soybean in India using CROPGRO-Soybean model. Agricultural & Forest Meteorology, 148, 1252–1265. Braconnier S. 1998. Maize-coconut intercropping: Effects of shade and root competition on maize growth and yield. Agronomie, 18, 373–382. Cassman K G, Dobermann A, Walters D T, Yang H S. 2003. Meeting cereal demand while protecting natural resources and improving environmental quality. Annual Review of Environment & Resources, 28, 315–358. Chen G P, Gao J L, Zhao M, Dong S T, Li S K, Yang Q F, Liu Y H, Wang L C, Xue J Q, Liu J G, Li C H, Wang Y H, Wang Y D, Song H X, Zhao J R. 2012. Distribution, yield structure, and key cultural techniques of maize super-high yield plots in recent years. Acta Agronomica Sinica, 38, 80–85. (in Chinese) Cui H Y, Jin L B, Li B, Zhao B, Dong S T, Liu P, Zhang J W. 2013. Effects of shading on photosynthetic characteristics and xanthophyll cycle of summer maize in the field. Acta Agronomica Sinica, 39, 478–485. (in Chinese) Deng N Y, Ling X X, Sun Y, Zhang C D, Fahad S, Peng S B, Cui K H, Nie L X, Huang J L. 2015. Influence of temperature and solar radiation on grain yield and quality in irrigated rice. European Journal of Agronomy, 64, 37–46. Evans L T, Fischer R A. 1999. Yield potential: Its definition, measurement, and significance. Crop Science, 39, 1544–1551. Gou L, Xue J, Qi B Q, Ma B Y, Zhang W F. 2017. Morphological variation of maize cultivars in response to elevated plant densities. Agronomy Journal, 109, 1443–1453. Grassini P, Thorburn J, Burr C, Cassman K G. 2011. High-yield irrigated maize in the Western U.S. Corn Belt: I. On-farm yield, yield potential, and impact of agronomic practices. Field Crops Research, 120, 142–150. Hammad H M, Abbas F, Ahmad A, Ahmad A, Fahad S, Laghari K Q, Alharby H, Farhad W. 2016. The effect of nutrients shortage on plant’s efficiency to capture solar radiations under semi-arid environments. Environmental Science and Pollution Research, 23, 20497–20505. Hawkesford M J, Araus J L, Park R, Calderini D, Miralles D, Shen T, Zhang J, Parry M A J. 2013. Prospects of doubling global wheat yields. Food & Energy Security, 2, 34–48. Hou P, Chen X P, Cui Z L, Wang W, Wang L N, Tang J F, Zhang F S. 2013. Evaluation of yield increasing potential by irrigation of spring maize in Heilongjiang Province based on Hybrid-Maize Model. Transactions of the Chinese Society of Agricultural Engineering, 29, 103–112. Hou P, Gao Q, Xie R Z, Li S K, Meng Q F, Kirkby E A, Romheld V, Muller T, Zhang F S, Cui Z L, Chen X P. 2012. Grain yields in relation to N requirement: Optimizing nitrogen management for spring maize grown in China. Field Crops Research, 129, 1–6. Hou P, Liu Y E, Liu W M, Liu G Z, Xie R Z, Wang K R, Ming B, Wang Y H, Zhao R L, Zhang W J, Wang Y J, Bian S F, Ren H, Zhao X Y, Liu P, Chang J Z, Zhang G H, Liu J Y, Yuan L Z, Zhao H Y, et al. 2020. How to increase maize production without extra nitrogen input. Resources, Conservation & Recycling, 160, 104913. Hou P, Liu Y E, Xie R Z, Ming B, Ma D L, Li S K, Mei X R. 2014. Temporal and spatial variation in accumulated temperature requirements of maize. Field Crops Research, 158, 55–64. Iizumi T, Ramankutty N. 2015. How do weather and climate influence cropping area and intensity? Global Food Security, 4, 46–50. van Ittersum M K, Cassman K G, Grassini P, Wolf J, Tittonell P, Hochman Z. 2013. Yield gap analysis with local to global relevance - A review. Field Crops Research, 143, 4–17. Kassie B T, van Ittersum M K, Hengsdijk H, Asseng S, Wolf J, Rotter R P. 2014. Climate-induced yield variability and yield gaps of maize (Zea mays L.) in the Central Rift Valley of Ethiopia. Field Crops Research, 160, 41–53. Lambert R J, Mansfield B D, Mumm R H. 2014. Effect of leaf area on maize productivity. Maydica, 59, 58–64. Li S K, Wang C T. 2008. Analysis on change of production and factors promoting yield increase of corn in China. Journal of Maize Sciences, 16, 26–30. (in Chinese) Li S K, Wang C T. 2010. Potential and Ways to High Yield Maize. China Scientific Press, Beijing. (in Chinese) Liu G Z, Hou P, Xie R Z, Ming B, Wang K R, Liu W M, Yang Y S, Xu W J, Chen J L, Li S K. 2019. Nitrogen uptake and response to radiation distribution in the canopy of high-yield maize. Crop Science, 59, 1236–1247. Liu G Z, Hou P, Xie R Z, Ming B, Wang K R, Xu W J, Liu W M, Yang Y S, Li S K. 2017. Canopy characteristics of high-yield maize with yield potential of 22.5 Mg ha–1. Field Crops Research, 213, 221–230. Liu G Z, Yang Y S, Liu W M, Guo X X, Xue J, Xie R Z, Ming B, Wang K R, Hou P, Li S K. 2020. Leaf removal affects maize morphology and grain yield. Agronomy, 10, 269. Liu Y E, Hou P, Xie R Z, Hao W P, Li S K, Mei X R. 2015. Spatial variation and improving measures of the utilization efficiency of accumulated temperature. Crop Science, 55, 1806–1817. Liu Y E, Hou P, Xie R Z, Li S K, Zhang H B, Ming B, Ma D L, Liang S M. 2013. Spatial adaptabilities of spring maize to vatiation of climatic conditions. Crop Science, 53, 1693–1703. Lobell D B, Cassman K G, Field C B. 2009. Crop yield gaps: Their importance, magnitudes, and causes. Annual Review of Environment & Resources, 34, 179–204. Meng Q F, Chen X P, Lobell D B, Cui Z L, Zhang Y, Yang H S, Zhang F S. 2016. Growing sensitivity of maize to water scarcity under climate change. Scientific Reports, 6, 19605. Meng Q F, Cui Z L, Yang H S, Zhang F S, Chen X P. 2018. Establishing high-yielding maize system for sustainable intensification in China. Advances in Agronomy, 148, 85–109. Meng Q F, Hou P, Lobell D, Wang H F, Cui Z L, Zhang F S, Chen X P. 2014. The benefits of recent warming for maize production in high latitude China. Climatic Change, 122, 341–349. Meng Q F, Hou P, Wu L, Chen X P, Cui Z L, Zhang F S. 2013. Understanding production potentials and yield gaps in intensive maize production in China. Field Crops Research, 143, 91–97. Merlos F A, Monzon J P, Mercau J L, Taboada M, Andrade F H, Hall A J, Jobbagy E, Cassman K G, Grassini P. 2015. Potential for crop production increase in Argentina through closure of existing yield gaps. Field Crops Research, 184, 145–154. Ming B, Xie R Z, Hou P, Li L L, Wang K R, Li S K. 2017. Changes of maize planting density in China. Scientia Agricultura Sinica, 50, 1960–1972. (in Chinese) Naab J B, Singh P, Boote K J, Jones J W, Marfo K O. 2004. Using the CROPGRO-peanut model to quantify yield gaps of peanut in the Guinean Savanna Zone of Ghana. Agronomy Journal, 96, 1231–1242. van Oort A J, Saito K, Dieng I, Grassini P, Cassman K G, van Ittersum M K. 2017. Can yield gap analysis be used to inform R&D prioritization? Global Food Security, 12, 109–118. Ray D K, Mueller N D, West P C, Foley J A. 2013. Yield trends are insufficient to double global crop production by 2050. PLoS ONE, 8, e66428. Reynolds M, Foulkes M J, Slafer G A, Berry P, Parry M A J, Snape J W, Angus W J. 2009. Raising yield potential in wheat. Journal of Experimental Botany, 60, 1899–1918. Senapati N, Semenov M A. 2020. Large genetic yield potential and genetic yield gap estimated for wheat in Europe. Global Food Security, 24, 100340. Testa G, Reyneri A, Blandino M. 2016. Maize grain yield enhancement through high plant density cultivation with different inter-row and intra-row spacings. European Journal of Agronomy, 72, 28–37. Timsina J, Jat M L, Majumdar K. 2010. Rice-maize systems of South Asia: Current status, future prospects and research priorities for nutrient management. Plant & Soil, 335, 65–82. Trachsel S, San V F M, Suarez E A, Rodriguez C S, Atlin G N. 2016. Effects of planting density and nitrogen fertilization level on grain yield and hzrvest index in seven modern tropical maize hybrids (Zea mays L.). The Journal of Agricultural Science, 154, 689–704. Wang Y, Cui Z, Zhu Y, Fan J, Zhang L. 2012. The comparison of anatomic structure and photoinhibition characteristics between different regions of the C4 photosynthetic leaf in maize (Zea mays L.). Plant Physiology Journal, 48, 571–576. (in Chinese) Wilson D R, Muchow R C, Murgatroyd C J. 1995. Model analysis of temperature and solar radiation limitations to maize potential productivity in a cool climate. Field Crops Research, 43, 1–18. Xu W J, Liu C W, Wang K R, Xie R Z, Ming B, Wang Y H, Zhang G Q, Liu G Z, Zhao R L, Fan P P, Li S K, Hou P. 2017. Adjusting maize plant density to different climatic conditions across a large longitudinal distance in China. Field Crops Research, 212, 126–134. Yang H S, Dobermann A, Cassman K G, Walters D T. 2006. Features, applications, and limitations of the hybrid-maize simulation model. Agronomy Journal, 98, 737–748. Yang H S, Dobermann A, Lindquist J L, Walters D T, Arkebauer T J, Cassman K G. 2004. Hybrid-maize - A maize simulation model that combines two crop modeling approaches. Field Crops Research, 87, 131–154. Yang Y S, Xu W J, Hou P, Liu G Z, Liu W M, Wang Y H, Zhao R L, Ming B, Xie R Z, Wang K R, Li S K. 2019. Improving maize grain yield by matching maize growth and solar radiation. Scientific Reports, 9, 3635.
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