| Literature DB >> 19956624 |
Chengyun Li1, Xiahong He, Shusheng Zhu, Huiping Zhou, Yunyue Wang, Yan Li, Jing Yang, Jinxiang Fan, Jincheng Yang, Guibin Wang, Yunfu Long, Jiayou Xu, Yongsheng Tang, Gaohui Zhao, Jianrong Yang, Lin Liu, Yan Sun, Yong Xie, Haining Wang, Youyong Zhu.
Abstract
Traditional farming practices suggest that cultivation of a mixture of crop species in the same field through temporal and spatial management may be advantageous in boosting yields and preventing disease, but evidence from large-scale field testing is limited. Increasing crop diversity through intercropping addresses the problem of increasing land utilization and crop productivity. In collaboration with farmers and extension personnel, we tested intercropping of tobacco, maize, sugarcane, potato, wheat and broad bean--either by relay cropping or by mixing crop species based on differences in their heights, and practiced these patterns on 15,302 hectares in ten counties in Yunnan Province, China. The results of observation plots within these areas showed that some combinations increased crop yields for the same season between 33.2 and 84.7% and reached a land equivalent ratio (LER) of between 1.31 and 1.84. This approach can be easily applied in developing countries, which is crucial in face of dwindling arable land and increasing food demand.Entities:
Mesh:
Year: 2009 PMID: 19956624 PMCID: PMC2778130 DOI: 10.1371/journal.pone.0008049
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Crop patterns in intercropping and monoculture experiment plots.
Each symbol represents a plant (hill) of a different crop species: tobacco (○); maize (×); sugarcane (•); potato (⋄); wheat (▵); broad bean (□).
Yield and monetary value for different crops.
| Crop | Variety | Plants m−2 | Yield ± s. e. m (t/ha) | Crop value (US$ per ha) | ||
| 1st year | 2nd year | 1st year | 2nd year | |||
| Tobacco | Yunyan-87 | 1.67 | 2.82±0.003 | 2.86±0.007 | 5829 | 5912 |
| Maize | Huidan-4 | 5.35 | 6.94±0.003 | 6.99±0.017 | 1972 | 1986 |
| Intercropping | 6.67 | 8.69 | 8.75 | 7477 | 7477 | |
| Tobacco | Yunyan-87 | 1.67 | 2.81±0.006 | 2.84±0.017 | 5808 | 5870 |
| Maize | Huidan-4 | 5.00 | 5.88±0.004 | 5.91±0.017 | 1671 | 1679 |
| Sugarcane | Xintaitan-2 | 9.62 | 105.87±0.851 | 105.23±0.256 | 2529 | 2514 |
| Maize | Xundan-7 | 5.35 | 7.54±0.006 | 7.47±0.030 | 2142 | 2123 |
| Intercropping | 13.45 | 110.35 | 111.67 | 3878 | 3878 | |
| Sugarcane | Xintaitan-2 | 9.45 | 105.58±0.575 | 106.95±0.409 | 2522 | 2555 |
| Maize | Xundan-7 | 4.00 | 4.77±0.005 | 4.72±0.020 | 1355 | 1341 |
| Potato | Hui-2 | 6.67 | 31.86±0.105 | 31.27±0.380 | 2058 | 2020 |
| Maize | Huidan-4 | 5.35 | 7.17±0.022 | 7.13±0.026 | 2037 | 2026 |
| Intercropping | 7.42 | 23.71 | 23.99 | 2687 | 2687 | |
| Potato | Hui-2 | 3.71 | 18.45 | 18.75 | 1192 | 1211 |
| Maize | Huidan-4 | 3.71 | 5.26 | 5.24 | 1495 | 1489 |
| Wheat | Yumai-3 | 277.36 | 5.31±0.013 | 5.32±0.016 | 1577 | 1580 |
| Broad bean | Dabaidou | 13.65 | 2.87±0.011 | 2.92±0.011 | 1389 | 1413 |
| Intercropping | 280.05 | 6.27 | 6.28 | 2045 | 2045 | |
| Wheat | Yumai-3 | 277.36 | 5.29±0.020 | 5.31±0.017 | 1571 | 1577 |
| Broad bean | Dabaidou | 2.69 | 0.98±0.012 | 0.97±0.007 | 474 | 469 |
Crop yield determined by grain weight for rice, wheat and broad bean, dry leaf weight for tobacco, fresh stem and tuber weight for sugarcane and potato. Crop values based on market prices of 2067.02 US$ per ton for tobacco, 284.15 US$ per ton for maize, 23.89 US$ per ton for sugarcane, 64.59 US$ per ton for potato, 296.98 US$ per ton for wheat, 483.97 US$ per ton for broad bean. Crop yield and value were for individual species within intercropping. Yields of tobacco-maize, sugarcane-maize and wheat-broad bean patterns were additional production compared with monocrops. Yields of potato intercropped with maize and maize intercropped with potato, compared with equal areas of monocrops are shown in (bold). Statistical analyses: each survey plot was considered to be an experimental unit, and analyses were based on actual mean plot yields. Statistical analyses were conducted by software SPSS 13.0. One-tailed t-tests were used to determine if the yield differed significantly (p≤0.05).
Figure 2Severity of main diseases of the crops in monocropping and intercropping systems.
T = Tobacco brown leaf spot (Alternaria alternate Keissler); M = Maize northern leaf blight (Setosphaeria turcica Leonard); S = Sugarcane eye spot (Bipolaris sacchari (Butl) Shoemaker); P = Potato late blight (Phytophthora infestans (Mont.) de Bary); W = Wheat Stripe Rust (Puccinia striiformis West); B = Broad bean chocolate spot (Botrytis fabae Sard). m = disease severity for crop species grown in monoculture control plots; i = disease severity for the same crop species grown in intercropping plots in the same fields. Error bars are one s. e. m; n = 3. Statistical analyses were conducted by software SPSS 13.0. All differences between pairs are significant at P≤0.05 based on one-tailed t-test.
Land equivalent ratios for crop yields produced by intercropping.
| Intercropping | First year | Second year |
| Tobacco/Maize | 1.84 | 1.83 |
| Sugarcane/Maize | 1.63 | 1.65 |
| Potato/Maize | 1.31 | 1.33 |
| Wheat/Broad bean | 1.34 | 1.33 |
Land equivalent ratios (LERs) were calculated as (yield ha−1 of crop A in intercropping/yield ha−1 of crop A in monoculture)+(yield ha−1 of crop B in intercropping/yield ha−1 of crop B in monoculture).