Influence of Climate Variability on Soybean Yield in MATOPIBA, Brazil

Reis, Layara Campelo dos; Silva, Cláudio Moisés Santos e; Bezerra, Bergson Guedes; Mutti, Pedro Rodrigues; Spyrides, Maria Helena Constantino; Silva, Pollyanne; Magalhães, Thaynar; Ferreira, Rosária R.; Rodrigues, Daniele Tôrres; Andrade, Lára de Melo Barbosa

doi:10.3390/atmos11101130

Cited by 32 publications

(30 citation statements)

References 104 publications

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“…The magnitude of the environmental and GEIs effects showed that the test environment had a signi cant effect on grain yields. Differences in rainfall, humidity, and light in each environment during the experiment had a signi cant effect on soybean grain yields 15 . In this study, the Ngawi (2017) had the highest average grain yield (2.54 t/ha) compared to other environments.…”

Section: Discussionmentioning

confidence: 98%

Mega-Environment Analysis and Identify Stable and High-Yielding of New Promising Black Soybean Lines in Indonesia

Susanto¹,

Putri²,

Maulana³

et al. 2021

Preprint

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Stable and high-yielding are the major goals of black soybean breeding. Testing new lines in a mega-environment is one of the development processes in black soybean breeding. The aims of the research were (i) to identify the effects of genotype, environment, and GEIs on the grain yield of soybean lines in Java Island; (ii) to select stable and high yielding soybean lines; and (iii) to determine the discriminative environments, and (iv) to determine the concept of stability measurements on black soybean grain yields. Field trials of 10 new F8 promising lines and three check varieties were conducted under eight different environments during four years (2016–2019). The measurement results showed that the grain yield was influenced by genotype (8.35%), environment (59.49%), and GEIs (32.16%). Grain yield stability measurements showed that the four newly lines was identified had high yields and stable in eight environments, they were A-5A-PSJ (S2), DB-96-CTY (S5), UP 161 (S6), and UP 162 (S7). The Ngawi (2017) followed by Bogor (2019) and Banyuwangi (2016) has the strongest interactive capabilities, and was suitable for used as a trial environments. Grain yield (Y) was identified as having a positive and significant correlation (p < 0.05) with S(3), S(6), NP(2), NP(3), NP(4), KR, and YSI stability measurements, which indicated that they were included in the concept of dynamic stability measurement.

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Section: Discussionmentioning

confidence: 98%

Mega-Environment Analysis and Identify Stable and High-Yielding of New Promising Black Soybean Lines in Indonesia

Susanto¹,

Putri²,

Maulana³

et al. 2021

Preprint

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“…A low soybean yield results from a reduction in water availability during the reproductive periods, especially during the pod-filling period. This relationship highlights the importance of adjusting the sowing date to the current meteorological scenario in order to optimize production according to the water deficit pattern in the region [36].…”

Section: Climate and Soybean Yieldmentioning

confidence: 99%

“…Climate conditions specific for each cultivating year had the most effect on soybean yield [36]. In 2017, there were favorable conditions of temperature and humidity for the vegetative stages of soybean and yield (Table 4).…”

Section: Climate and Soybean Yieldmentioning

confidence: 99%

The Effects of Management (Tillage, Fertilization, Plant Density) on Soybean Yield and Quality in a Three-Year Experiment under Transylvanian Plain Climate Conditions

Chețan¹,

Cheţan²,

Bogdan

et al. 2021

Land

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The regional agroecological conditions, specific to the Transylvanian Plain, are favorable to soybean crops, but microclimate changes related to global warming have imposed the need for agrotechnical adaptive measures in order to maintain the level of soybean yield. In this study, we consider the effect of two soil tillage systems, the seeding rate, as well as the fertilizer dosage and time of application on the yield and quality of soybean crops. A multifactorial experiment was carried out through the A × B × C × D − R: 3 × 2 × 3 × 3 − 2 formula, where A represents the year (a1, 2017; a2, 2018; and a3, 2019); B represents the soil tillage system (b1, conventional tillage with mouldboard plough; b2, reduced tillage with chisel cultivator); C represents the fertilizer variants (c1, unfertilized; c2, one single rate of fertilization: 40 kg ha−1 of nitrogen + 40 kg ha−1 of phosphorus; and c3, two rates of fertilization: 40 kg ha−1 of nitrogen + 40 kg ha−1 of phosphorus (at sowing) + 46 kg ha−1 of nitrogen at V3 stage); D represents the seeding rate (1 = 45 germinating grains (gg) m−2; d2 = 55 gg m−2; and d3 = 65 gg m−2); and R represents the replicates (r1 = the first and r2 = the second). Tillage had no effect, the climate specific of the years and fertilization affected the yield and the quality parameters. Regarding the soybean yield, it reacted favorably to a higher seeding rate (55–65 gg m−2) and two rates of fertilization. The qualitative characteristics of soybeans are affected by the fertilization rates applied to the crop, which influence the protein and fiber content in the soybean grains. Higher values of protein content were recorded with a reduced tillage system, i.e., 38.90 g kg−1 DM in the variant with one single rate of fertilization at a seeding rate of 45 gg per m−2 and 38.72 g kg−1 DM in the variant with two fertilizations at a seeding rate of 65 gg m−2.

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“…In addition, forest degradation has become a more important driver of carbon losses than deforestation 43 , including irrecoverable carbon stores within the Amazon basin 44 . Changes in MATOPIBA's re regime resulting from rapid land expansion are still poorly understood, but it is suggested that climate is also playing a relevant role in this region 9,45 , which could put at risk both food production and EAC biome stability. We investigated this possibility, using 40 years of climate data to test for evidence of an intensi cation of hydro-climatic trends over the EAC.…”

Section: Introductionmentioning

confidence: 99%

Increased Climate Pressure on the New Agricultural Frontier in the Eastern Amazonia-Cerrado Transition Zone

Marengo

Jiménez²,

Espinoza

et al. 2021

Preprint

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Several large-scale drivers of both anthropogenic and natural environmental changes are interacting nonlinearly in the transition zone between eastern Amazonia and the adjacent Cerrado, considered to be the new Brazilian agricultural frontier. Land-use change for agrobusiness expansion together with climate change in the transition zone between eastern Amazonia and the adjacent Cerrado may have induced a worsening of severe drought conditions over the last decade. The largest warming and drying trends observed over tropical South America during the last four decades are found to be precisely in this eastern Amazonia-Cerrado transition region, where they induce delayed wet-season onset. Here we show that the largest warming and drying trends over tropical South America during the last four decades are observed to be precisely in the eastern Amazonia-Cerrado transition region, with a worsening of severe drought conditions over the last decade. Our results evidence an increase in temperature, vapor pressure deficit, subsidence, dry-day frequency, and a decrease in precipitation, humidity, and evaporation, plus a delay in the onset of the wet season, inducing a higher risk of fire during the dry-to-wet transition season. These findings provide observational evidence of the increasing climatic pressure in this area, which is sensitive for global food security, and the need to reconcile agricultural expansion and protection of natural tropical biomes.

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Influence of Climate Variability on Soybean Yield in MATOPIBA, Brazil

Cited by 32 publications

References 104 publications

Mega-Environment Analysis and Identify Stable and High-Yielding of New Promising Black Soybean Lines in Indonesia

Mega-Environment Analysis and Identify Stable and High-Yielding of New Promising Black Soybean Lines in Indonesia

The Effects of Management (Tillage, Fertilization, Plant Density) on Soybean Yield and Quality in a Three-Year Experiment under Transylvanian Plain Climate Conditions

Increased Climate Pressure on the New Agricultural Frontier in the Eastern Amazonia-Cerrado Transition Zone

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