Lamichhane Jay Ram, Aubertot Jean-Noël, Champolivier Luc, Debaeke Philippe, Maury Pierre
INRAE, Université Fédérale de Toulouse, Castanet-Tolosan, France.
Terres Inovia, Institut Technique des Oléagineux, des Protéagineux et du Chanvre, Castanet-Tolosan, France.
Front Plant Sci. 2020 Sep 2;11:558855. doi: 10.3389/fpls.2020.558855. eCollection 2020.
Soybean emergence and yield may be affected by many factors. A better understanding of the cultivar x sowing date x environment interactions could shed light into the competitiveness of soybean with other crops, notably, to help manage major biotic and abiotic factors that limit soybean production. We conducted a 2-year field experiments to measure emergence dynamics and final rates of three soybean cultivars from different maturity groups, with early and conventional sowing dates and across three locations. We also measured germination parameter values of the three soybean cultivars from different maturity groups under controlled experiments to parametrize the SIMPLE crop emergence model. This allowed us to assess the prediction quality of the model for emergence rates and to perform simulations. Final emergence rates under field conditions ranged from 62% to 92% and from 51% to 94% for early and conventional sowing, respectively. The model finely predicted emergence courses and final rates (root mean square error of prediction (RMSEP), efficiency (EF), and mean deviation (MD) ranging between 2% to 18%, 0.46% to 0.99%, and -10% to 15%, respectively) across a wide range of the sowing conditions tested. Differences in the final emergence rates were found, not only among cultivars but also among locations for the same cultivar, although no clear trend or consistent ranking was found in this regard. Modeling suggests that seedling mortality rates were dependent on the soil type with up to 35% and 14% of mortality in the silty loam soil, due to a soil surface crust and soil aggregates, respectively. Non-germination was the least important cause of seedling mortality in all soil types (up to 3% of emergence losses), while no seedling mortality due to drought was observed. The average grain yield ranged from 3.1 to 4.0 t ha, and it was significantly affected by the irrigation regime ( < 0.001) and year ( < 0.001) but not by locations, sowing date or cultivars. We conclude that early sowing is unlikely to affect soybean emergence in South-West of France and therefore may represent an important agronomic lever to escape summer drought that markedly limit soybean yield in this region.
大豆的出苗和产量可能受多种因素影响。更好地理解品种×播种日期×环境的相互作用,有助于了解大豆与其他作物的竞争力,特别是有助于应对限制大豆生产的主要生物和非生物因素。我们进行了为期两年的田间试验,以测定来自不同成熟组的三个大豆品种在早播和常规播种日期下,于三个地点的出苗动态和最终出苗率。我们还在控制试验中测定了来自不同成熟组的三个大豆品种的发芽参数值,以便对SIMPLE作物出苗模型进行参数化。这使我们能够评估该模型对出苗率的预测质量并进行模拟。在田间条件下,早播和常规播种的最终出苗率分别为62%至92%和51%至94%。该模型在广泛的测试播种条件下,能够很好地预测出苗过程和最终出苗率(预测均方根误差(RMSEP)、效率(EF)和平均偏差(MD)分别在2%至18%之间、0.46%至0.99%之间和-10%至15%之间)。不仅品种之间,而且同一品种在不同地点之间,最终出苗率都存在差异,不过在这方面未发现明显趋势或一致的排名。模型表明,幼苗死亡率取决于土壤类型,粉质壤土中分别因土壤表面结皮和土壤团聚体导致的死亡率高达35%和14%。在所有土壤类型中,未发芽是导致幼苗死亡的最不重要原因(出苗损失高达3%),且未观察到因干旱导致的幼苗死亡。平均籽粒产量在3.1至4.0吨/公顷之间,受灌溉制度(<0.001)和年份(<0.001)的显著影响,但不受地点、播种日期或品种的影响。我们得出结论,在法国西南部,早播不太可能影响大豆出苗,因此可能是规避夏季干旱的一个重要农艺手段,夏季干旱明显限制了该地区的大豆产量。