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Frontiers of Agricultural Science and Engineering

ISSN 2095-7505

ISSN 2095-977X(Online)

CN 10-1204/S

Postal Subscription Code 80-906

Front. Agr. Sci. Eng.    2021, Vol. 8 Issue (3) : 481-489    https://doi.org/10.15302/J-FASE-2021413
RESEARCH ARTICLE
COMPARING PERFORMANCE OF CROP SPECIES MIXTURES AND PURE STANDS
Wopke VAN DER WERF1(), Lizhen ZHANG2, Chunjie LI3, Ping CHEN4, Chen FENG5, Zhan XU1,3, Chaochun ZHANG3, Chunfeng GU1, Lammert BASTIAANS1, David MAKOWSKI6, TjeerdJan STOMPH1
1. Wageningen University, Centre for Crop Systems Analysis, 6700 AK Wageningen, the Netherlands
2. College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
3. College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing 100193, China
4. College of Agronomy/Sichuan Engineering Research Center for Crop Strip Intercropping System/Key Laboratory of Crop Ecophysiology and Farming System in Southwest, Ministry of Agriculture and Rural Affairs of China, Chengdu 611130, China
5. Tillage and Cultivation Research Institute, Liaoning Academy of Agricultural Sciences, Shenyang 110161, China
6. INRAe, AgroParisTech, Université Paris-Saclay, Unit Applied Mathematics and Computer Science (UMR MIA 518), 16 rue Claude Bernard F-75231 Paris, France
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Abstract

•The literature on intercropping comprises thousands of papers.

•Evidence synthesis is needed to develop general conclusions.

•Quantitative evidence synthesis requires meaningful comparative performance metrics.

•The background, meaning, and limitations of some performance metrics is explained.

•Future challenges are identified.

Intercropping is the planned cultivation of species mixtures on agricultural land. Intercropping has many attributes that make it attractive for developing a more sustainable agriculture, such as high yield, high resource use efficiency, lower input requirements, natural suppression of pests, pathogens and weeds, and building a soil with more organic carbon and nitrogen. Information is needed which species combinations perform best under different circumstances and which management is suitable to bring out the best from intercropping in a given production situation. The literature is replete with case studies on intercropping from across the globe, but evidence synthesis is needed to make this information accessible. Meta-analysis requires a careful choice of metric that is appropriate for answering the question at hand, and which lends itself for a robust meta-analysis. This paper reviews some metrics that may be used in the quantitative synthesis of literature data on intercropping.

Keywords intercropping      species mixtures      meta-analysis      metrics      indicators     
Corresponding Author(s): Wopke VAN DER WERF   
Just Accepted Date: 26 July 2021   Online First Date: 25 August 2021    Issue Date: 26 September 2021
 Cite this article:   
Wopke VAN DER WERF,Lizhen ZHANG,Chunjie LI, et al. COMPARING PERFORMANCE OF CROP SPECIES MIXTURES AND PURE STANDS[J]. Front. Agr. Sci. Eng. , 2021, 8(3): 481-489.
 URL:  
https://academic.hep.com.cn/fase/EN/10.15302/J-FASE-2021413
https://academic.hep.com.cn/fase/EN/Y2021/V8/I3/481
Fig.1   Illustration of the land equivalent ratio (LER). A sole maize yield is presumed to be 12 t·ha−1 and a soybean yield to be 3 t·ha−1. Now suppose an intercrop with 50% maize and 50% soybean has a maize yield of 9 t·ha−1 maize and a soybean yield of 1.5 t·ha−1. Production of the same yields with sole crops would require 0.75 ha of maize and 0.5 ha of soybean. Hence, the land equivalent ratio is 1.25. Intercropping uses 20% less land than required for the same yield in sole crops.
1 A Weigelt, P Jolliffe. Indices of plant competition. Journal of Ecology, 2003, 91( 5): 707– 720
https://doi.org/10.1046/j.1365-2745.2003.00805.x
2 L Bedoussac, E Justes. A comparison of commonly used indices for evaluating species interactions and intercrop efficiency: application to durum wheat–winter pea intercrops. Field Crops Research, 2011, 124( 1): 25– 36
https://doi.org/10.1016/j.fcr.2011.05.025
3 Makowski D, Piraux F, Brun F. From experimental network to meta-analysis-methods and applications with R for agronomic and environmental sciences. Springer, 2019
4 J Connolly, H C Gomab, K Rahim. The information content of indicators in intercropping research. Agriculture, Ecosystems & Environment, 2001, 87( 2): 191– 207
https://doi.org/10.1016/S0167-8809(01)00278-X
5 Li L, Zhang L, Zhang F. Crop mixtures and the mechanisms of overyielding. In: Levin S A, ed. Encyclopedia of Biodiversity (2nd ed.). Waltham: Academic Press, 2013, 382–395
6 D Tilman. Benefits of intensive agricultural intercropping. Nature Plants, 2020, 6( 6): 604– 605
https://doi.org/10.1038/s41477-020-0677-4
7 E Malézieux, Y Crozat, C Dupraz, M Laurans, D Makowski, H Ozier-Lafontaine, B Rapidel, Tourdonnet S de, M Valantin-Morison. Mixing plant species in cropping systems: concepts, tools and models. A review. Agronomy for Sustainable Development, 2009, 29( 1): 43– 62
https://doi.org/10.1051/agro:2007057
8 Y Yu, T J Stomph, D Makowski, W van der Werf. Temporal niche differentiation increases the land equivalent ratio of annual intercrops: A meta-analysis. Field Crops Research, 2015, 184 : 133– 144
https://doi.org/10.1016/j.fcr.2015.09.010
9 M O Martin-Guay, A Paquette, J Dupras, D Rivest. The new Green Revolution: Sustainable intensification of agriculture by intercropping. Science of the Total Environment, 2018, 615 : 767– 772
https://doi.org/10.1016/j.scitotenv.2017.10.024
10 Z Xu, C Li, C Zhang, Y Yu, W van der Werf, F Zhang. Intercropping maize and soybean increases efficiency of land and fertilizer nitrogen use; A meta-analysis. Field Crops Research, 2020, 246 : 107661
https://doi.org/10.1016/j.fcr.2019.107661
11 C Feng, Z X Sun, L Zhang, L S Feng, J M Zheng, W Bai, C F Gu, Q Wang, Z Xu, W van der Werf. Maize/peanut intercropping increases land productivity: a meta-analysis. Field Crops Research, 2021, 270 : 108208
https://doi.org/10.1016/j.fcr.2021.108208
12 C Li, E Hoffland, T W Kuyper, Y Yu, C Zhang, H Li, F Zhang, W van der Werf. Syndromes of production in intercropping impact yield gains. Nature Plants, 2020, 6( 6): 653– 660
https://doi.org/10.1038/s41477-020-0680-9
13 R Mead, R W Willey. The concept of a ‘Land Equivalent Ratio’ and advantages in yields from intercropping. Experimental Agriculture, 1980, 16( 3): 217– 228
https://doi.org/10.1017/S0014479700010978
14 Q Wang, W Bai, Z Sun, D Zhang, Y Zhang, R Wang, J B Evers, T J Stomph, W van der Werf, C Feng, L Zhang. Does reduced intraspecific competition of the dominant species in intercrops allow for a higher population density?. Food and Energy Security, 2021, 10( 2): 285– 298
https://doi.org/10.1002/fes3.270
15 C J T Spitters. An alternative approach to the analysis of mixed cropping experiments. 1. Estimation of competition effects. Netherlands Journal of Agricultural Science, 1983, 31( 1): 1– 11
https://doi.org/10.18174/njas.v31i1.16957
16 M Loreau, A Hector. Partitioning selection and complementarity in biodiversity experiments. Nature, 2001, 412( 6842): 72– 76
https://doi.org/10.1038/35083573
17 C Li, E Hoffland, T W Kuyper, Y Yu, H Li, C Zhang, F Zhang, W van der Werf. Yield gain, complementarity and competitive dominance in intercropping in China: A meta-analysis of drivers of yield gain using additive partitioning. European Journal of Agronomy, 2020, 113 : 125987
https://doi.org/10.1016/j.eja.2019.125987
18 L Zhang, W van der Werf, S Zhang, B Li, J H J Spiertz. Growth, yield and quality of wheat and cotton in relay strip intercropping systems. Field Crops Research, 2007, 103( 3): 178– 188
https://doi.org/10.1016/j.fcr.2007.06.002
19 P A J van Oort, F Gou, T J Stomph, W van der Werf. Effects of strip width on yields in relay-strip intercropping: A simulation study. European Journal of Agronomy, 2020, 112 : 125936
https://doi.org/10.1016/j.eja.2019.125936
20 R Wang, Z Sun, L Zhang, N Yang, L Feng, W Bai, D Zhang, Q Wang, J B Evers, Y Liu, J Ren, Y Zhang, W van der Werf. Border-row proportion determines strength of interspecific interactions and crop yields in maize/peanut strip intercropping. Field Crops Research, 2020, 253 : 107819
https://doi.org/10.1016/j.fcr.2020.107819
21 Harper J L, Ltd H P. Population biology of plants. London: Academic Press, 1977
22 J Weiner, R P Freckleton. Constant final yield. Annual Review of Ecology, Evolution, and Systematics, 2010, 41( 1): 173– 192
https://doi.org/10.1146/annurev-ecolsys-102209-144642
23 Bastiaans L, Storkey J. Descriptive and mechanistic models of crop–weed competition. In: Hatcher P E, Froud-Williams R J, eds. Weed Research: Expanding Horizons, 2017, 33–60
24 Trenbath B R. Biomass productivity of mixtures. In: Brady N C, ed. Advances in Agronomy. Academic Press, 1974, 26: 177–210
25 Yu Y. Crop yields in intercropping: meta-analysis and virtual plant modelling. Dissertation for the Doctoral Degree. The Netherlands: Wageningen University, 2016
26 B J Cardinale, J P Wright, M W Cadotte, I T Carroll, A Hector, D S Srivastava, M Loreau, J J Weis. Impacts of plant diversity on biomass production increase through time because of species complementarity. Proceedings of the National Academy of Sciences of the United States of America, 2007, 104( 46): 18123– 18128
https://doi.org/10.1073/pnas.0709069104
27 H N C Berghuijs, Z Wang, T J Stomph, M Weih, W Van der Werf, G Vico. Identification of species traits enhancing yield in wheat-faba bean intercropping: development and sensitivity analysis of a minimalist mixture model. Plant and Soil, 2020, 455( 1−2): 203– 226
https://doi.org/10.1007/s11104-020-04668-0
28 C T de Wit. Resource use efficiency in agriculture. Agricultural Systems, 1992, 40( 1-3): 125– 151
https://doi.org/10.1016/0308-521X(92)90018-J
29 J L Monteith, C J Moss, G W Cooke, N W Pirie, G D H Bell. Climate and the efficiency of crop production in Britain. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 1977, 281( 980): 277– 294
30 M K van Ittersum, R Rabbinge. Concepts in production ecology for analysis and quantification of agricultural input-output combinations. Field Crops Research, 1997, 52( 3): 197– 208
https://doi.org/10.1016/S0378-4290(97)00037-3
31 F Gou, M K van Ittersum, E Simon, P A Leffelaar, P E L van der Putten, L Zhang, W van der Werf. Intercropping wheat and maize increases total radiation interception and wheat RUE but lowers maize RUE. European Journal of Agronomy, 2017, 84 : 125– 139
https://doi.org/10.1016/j.eja.2016.10.014
32 J Zhu, W van der Werf, N P R Anten, J Vos, J B Evers. The contribution of phenotypic plasticity to complementary light capture in plant mixtures. New Phytologist, 2015, 207( 4): 1213– 1222
https://doi.org/10.1111/nph.13416
33 F Gou, Ittersum M K van, A Couëdel, Y Zhang, Y Wang, der Putten P E L van, L Zhang, der Werf W van. Intercropping with wheat lowers nutrient uptake and biomass accumulation of maize, but increases photosynthetic rate of the ear leaf. AoB Plants, 2018, 10( 1): ply010
https://doi.org/10.1093/aobpla/ply010
34 L Mao, L Zhang, W Li, W van der Werf, J Sun, H Spiertz, L Li. Yield advantage and water saving in maize/pea intercrop. Field Crops Research, 2012, 138 : 11– 20
https://doi.org/10.1016/j.fcr.2012.09.019
35 L Ma, Y Li, P Wu, X Zhao, X Chen, X Gao. Coupling evapotranspiration partitioning with water migration to identify the water consumption characteristics of wheat and maize in an intercropping system. Agricultural and Forest Meteorology, 2020, 290 : 108034
https://doi.org/10.1016/j.agrformet.2020.108034
36 M Tan, F Gou, T J Stomph, J Wang, W Yin, L Zhang, Q Chai, W van der Werf. Dynamic process-based modelling of crop growth and competitive water extraction in relay strip intercropping: model development and application to wheat-maize intercropping. Field Crops Research, 2020, 246 : 107613
https://doi.org/10.1016/j.fcr.2019.107613
37 R A Morris, D P Garrity. Resource capture and utilization in intercropping: water. Field Crops Research, 1993, 34( 3−4): 303– 317
https://doi.org/10.1016/0378-4290(93)90119-8
38 J Ren, L Zhang, Y Duan, J Zhang, J B Evers, Y Zhang, Z Su, W van der Werf. Intercropping potato ( Solanum tuberosum L.) with hairy vetch ( Vicia villosa) increases water use efficiency in dry conditions. Field Crops Research, 2019, 240 : 168– 176
https://doi.org/10.1016/j.fcr.2018.12.002
39 X Tang, C Zhang, Y Yu, J Shen, W van der Werf, F Zhang. Intercropping legumes and cereals increases phosphorus use efficiency; a meta-analysis. Plant and Soil, 2021, 460( 1−2): 89– 104
https://doi.org/10.1007/s11104-020-04768-x
40 F Gou, M K van Ittersum, G Wang, P E L van der Putten, W van der Werf. Yield and yield components of wheat and maize in wheat–maize intercropping in the Netherlands. European Journal of Agronomy, 2016, 76 : 17– 27
https://doi.org/10.1016/j.eja.2016.01.005
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