Delineating Soybean Maturity Groups across the United States

Mourtzinis, Spyridon; Conley, Shawn P.

doi:10.2134/agronj2016.10.0581

Cited by 86 publications

(75 citation statements)

References 24 publications

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“…The figure shows the yield response for several PD × MG combinations and shows that the greatest seed yield resulted from early planting (late Aprilearly May) and MG 2. This result agrees with the highest-yielding MG identified by Mourtzinis and Conley (2017) for the same region. In that study, MG 1.4 to 2.2 resulted in the highest yields in Spooner and Arlington, WI, the northernmost and southernmost sites of the study, respectively.…”

Section: Planting Date × Maturity Group Effectssupporting

confidence: 90%

Planting Date, Maturity, and Temperature Effects on Soybean Seed Yield and Composition

et al. 2017

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Core Ideas Planting date and maturity group decisions can greatly affect yield and composition. Temperature had a significant effect on seed yield and composition. Planting date × maturity group should be chosen based on the product's end use. Soybean [Glycine max (L.) Merr.] production has greatly increased in the upper U.S. Midwest over the last decade, but little information exists regarding the interactive effects of environment and spring management decisions on soybean seed yield and composition. Our objective was to assess the effect of four planting dates (PDs), four cultivar maturity groups (MGs), and ambient temperature between R5 to R8 (T5–T8) on soybean seed yield and composition. Field studies were established between 2014 and 2016 at three locations in Wisconsin and one in Minnesota. Across environmental conditions and management decisions, greater seed yield was positively correlated with protein and oil contents but negatively correlated with linoleic, linolenic, and sucrose contents. Multivariate data analysis showed positive synergies between early planting (late April–early May) and MG 2 for yield, oil, and oleic acid across the examined region. A MG 2 was the highest yielding and a ∼1200 kg ha−1 yield difference was observed between early and late PDs. These results underline the complexity of the soybean yield‐composition relationships. Additionally, the large variability in the responses of constituents to management decisions and temperature variations highlights the importance of a producer knowing the product's end use (e.g., high yield vs. high protein) and accordingly modifying the growing environment by selecting an appropriate PD and MG for the respective region. To provide more accurate recommendations to a broader range of producers, multi‐environment studies are imperative to capture large environmental variability in important soybean production areas across the United States.

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Section: Planting Date × Maturity Group Effectssupporting

confidence: 90%

Planting Date, Maturity, and Temperature Effects on Soybean Seed Yield and Composition

et al. 2017

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“…MG zones represent the defined areas where a cultivar is best adapted, and range from 000 for the very‐early‐maturing cultivars to X for the latest‐maturing cultivars (Zhang et al, and references therein). Recently, Mourtzinis and Conley () used yield data from trials conducted between 2005 and 2015 at 312 locations across the USA to show that the current MG zones were defined by a downward deflection of MG lines in contrast to the 1970s. They have shown that that increased growing season temperatures caused by global warming could have allowed earlier planting of late‐MG cultivars in northern regions, and suggested that the effect of temperature, driven by climate change, is also important for determining the optimal MG for a given location.…”

Section: Discussionmentioning

confidence: 99%

Is the yield change due to warming affected by photoperiod sensitivity? Effects of the soybean E4 locus

Kumagai

Yamada

Hasegawa

2019

Food and Energy Security

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Modeling studies predict that global warming will shorten growth duration and reduce seed yield of early‐maturing soybean (Glycine max) cultivars, but that late‐maturing cultivars could mitigate this reduction. This is widely discussed but has not been validated experimentally. Time of soybean maturation is determined by several photoperiod‐sensitive loci. Here, we focused on the E4 locus, and tested the hypothesis that this locus would mitigate the growth period shortening and yield reduction due to warming. We sowed cv. Enrei with the dominant E4 allele and a near‐isogenic line with recessive e4 allele (NIL‐e4) on two dates (normal vs. late, with a shorter photoperiod) and grown under three temperature regimes (near‐ambient, and 2.0 and 4.6°C above ambient) in sunlit greenhouses in a cool region of Japan. The period from sowing to flowering (R1) decreased with increasing temperature, regardless of genotype and sowing date. However, increased temperature prolonged the period from R1 to the beginning of pod filling (R3) in Enrei but not in NIL‐e4 for either sowing date. This indicates that increasing temperature shortened the period before R1, exposing Enrei with E4 to a longer photoperiod and therefore slowing its development. For both sowing dates, pod number and seed yield increased with warming in Enrei. Since the days from R1 to R3 and the cumulative radiation for this period were positively correlated with pod number in Enrei, the greater yield response was explained mostly by the prolongation of this period caused by warming. However, the yield increase resulted partially from the current mean growing season temperature, which was near or below the optimum for yield. We conclude that the E4 locus can increase seed yield under future warming in cool regions of Japan. This result demonstrates the potential importance of modifying photoperiod sensitivity to increase soybean yield under future warming.

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“…A variety is classified to a specific maturity groups according to the length of period from planting to maturity. This phenological attribute is determined by two abiotic factors: photoperiod and temperature (Mourtzinis and Conley, 2017), and these factors can dictate the most suitable maturity groups of soybean varieties for a particular geographical location. Therefore, identification of different maturity groups of soybean varieties that fit specific agroecologies of western Oromia is an alternative option to boost soybean productivities.…”

Section: Introductionmentioning

confidence: 99%

Genotype and genotype by environment interaction and grain yield stability of medium maturity groups of soybean [Glycine max (L.) Merrill] varieties in Western Oromia, Ethiopia

Arega¹,

Dabessa²,

Tola³

et al. 2018

Afr. J. Plant Sci.

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The objectives of this study were to identify high yielding and stable medium maturity soybean varieties across environment and examine the influence of genotype × environment interaction (GEI) on grain yield of soybean varieties in western Oromia. Seven early soybean varieties were evaluated at five locations (Bako, Gute, Billo, Chewaka and Uke) using randomized complete block design (RCBD) with three replications for two consecutive years (2016 and 2017). Combined analysis of variance showed that grain yield was significantly (P<0.01) affected by environments, genotypes and GEI. The environment, genotype and genotype by environment interaction accounted for 57.4, 20.9 and 19.8% variations, respectively. The first two principal components (IPCA 1 and IPCA 2) were used to create a two-dimensional genotype and genotype by environment interaction (GGE) biplot and explained 68.9 and 15.6% of the total sums of squares of GEI, respectively. According to the average environment coordination (AEC) views of the GGE-biplot, soybean variety Didhessa and Hawassa-04 were identified as the most stable and high yielding varieties. In addition, Didhessa and Hawassa-04 also showed better stability performance according to AMMI stability value (ASV), genotypic selection index (GSI), Wricke's ecovalence and cultivar superiority measure among the evaluated varieties whereas variety Davis and AFGAT were identified as the least stable and low yielding variety. Therefore, among medium maturing soybean varieties, Didhessa, Hawassa-04 and Cheri were recommended for further production in most soybean growing areas of western Oromia.

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Delineating Soybean Maturity Groups across the United States

Cited by 86 publications

References 24 publications

Planting Date, Maturity, and Temperature Effects on Soybean Seed Yield and Composition

Planting Date, Maturity, and Temperature Effects on Soybean Seed Yield and Composition

Is the yield change due to warming affected by photoperiod sensitivity? Effects of the soybean E4 locus

Genotype and genotype by environment interaction and grain yield stability of medium maturity groups of soybean [Glycine max (L.) Merrill] varieties in Western Oromia, Ethiopia

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