Abstract

Mexico holds the largest single bean production area in the world that is vulnerable to drought. Using field data and two future climate scenarios (RCP4.5 and RCP8.5) for the period 2020–2039, this study evaluated three common bean (Phaseolus vulgaris L.) cultivars planted under rainfed conditions at different densities in two locations in the north-central Mexican semi-arid temperate highlands. The sowing densities were 90,000, 145,000, and 260,000 plants ha−1 established in single rows (SR), three rows (3R), and six rows (6R), respectively. The climate change scenarios were derived from an assembly model integrating 11 general circulation models (GCM) selected for Mexico with a 30” arc resolution. The baseline climate was for the period 1961–2010. The ALMANACMEX model (USDA-ARS-INIFAP, Temple, USA) was parameterized and evaluated and then re-run using the climate scenarios. Beans planted at 6R showed the highest increase in seed yield in both climate scenarios, although the response varied by cultivar and time periods. For the growth habit III cultivars, Flor de Mayo Bajio showed no difference in yield, while Pinto Saltillo, a drought-resistant cultivar, showed increases of 13% to 16% at 6R only until 2033. Growth habit I cultivar Azufrado 2 showed more than 60% increases at 6R in both climate scenarios for the full period 2020–2039. These results suggest that considering the projected climate conditions, high sowing densities may be a viable agronomic option for common bean production under rainfed conditions in semi-arid temperate regions, such as the highlands of Mexico, in the near future; however, the selection of the cultivar is a key element to consider in this regard.

Highlights

  • Common bean (Phaseolus vulgaris L.) is an essential food crop in Central and South America, Sub-Saharan Africa, and parts of Asia—regions that are predicted to be negatively impacted by climate change in the few decades [1]

  • For the estimation of future climate scenarios, we used a database with monthly anomalies of maximum temperature, minimum temperature, and monthly average precipitation derived from an assembly model that integrated 11 general circulation models (GCM) (BCC-CSM1-1, CCSM4, GISS-E2-R, HadGEM2-AO, HadGEM2-ES, IPSLCM5A-LR, MIROC-ESM-CHEM, MIROC-ESM, MIROC5, MRI-CGCM3, NorESM1-M), reduced in scale and calibrated for Mexico for the representative concentration pathways (RCP) of greenhouse gases (GHG) 4.5 and 8.5 for the period 2020–2039

  • −1) of common bean cultivars growth habit III and I sown under rainfed conditions in Mexican ha slope and intercept of the regression line shown in Figure 2 were not significantly different from 1 and semi-arid temperate highlands

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Summary

Introduction

Common bean (Phaseolus vulgaris L.) is an essential food crop in Central and South America, Sub-Saharan Africa, and parts of Asia—regions that are predicted to be negatively impacted by climate change in the few decades [1]. Agronomy 2020, 10, 442 temperature in major agricultural production areas [2,3,4], sustainable production will be a central issue in agricultural and food systems in these areas In this regard, common bean and other legumes could play an important role as they provide high-quality food and feed and help reduce the emission of greenhouse gases [5]. The use of high sowing density in improving bean production under future climatic scenarios needs to be further explored, especially in semi-arid production systems. The present study evaluated the use of high sowing densities on common bean cultivars under rainfed conditions in semi-arid temperate highlands in Mexico, considering predicted changes in precipitation and temperatures

Study Area
Cultivars and Sowing Densities
Precipitation During the Years of Study
Field Measurements
ALMANACMEX Model
Model Parameterization
Model Evaluation
Future Climate Change Scenarios
Model Application to Determine Sowing Density Impact
Crop Model Parameterization and Crop Parameters
Projected and Precipitation
Historical
Impact of Sowing Density on Seed Yield
Forecasted seed yield
Mgthe hawater almost thethe entire
Conclusions
Full Text
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