Soybean Yield Formation: What Controls It and How It Can Be Improved

Board, J. E.; Kahlon, Charanjit S.

doi:10.5772/17596

Cited by 15 publications

(8 citation statements)

References 155 publications

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“…As PI total , describing the average functioning of the photosynthetic apparatus (Strasser et al, 2004), can be representative of plant's reaction in stressful conditions and its vitality (Oukarroum et al, 2007;Tsimilli-Michael and Strasser, 2008), we could argue that G5, G9 and G10 should be favoured, while G12 and G16 should be excluded from the breeding programme aimed at increasing drought tolerance. However, as drought tolerance is a complex trait (Board and Kahlon, 2011), such decisions should not be taken lightly. Nevertheless, this criterion could be helpful in pre-selection for differentiating between larger sets of genotypes.…”

Section: Resultsmentioning

confidence: 99%

“…In the early development, soybean can withstand shorter length drought without the significant yield decrease, but water needs increase from the beginning of flowering (R1), through the pod development (R3), up until the full seed development (R6), when 60 to 90% of the total crop water needs are required (Vratarić andSudarić, 2008, Board andKahlon, 2011). This coincides with the period from early July to late August, i.e.…”

Section: Introductionmentioning

confidence: 99%

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Chlorophyll a fluorescence as tool in breeding drought stress-tolerant soybean

Kočar¹,

Josipović²,

Sudarić³

et al. 2022

JCEA

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Mitigating the effects of changing climate with adaptable cultivars while reducing the input burden of additional selection criteria is becoming a priority, especially as water shortage is limiting soybean production in Europe. To evaluate the functionality of the photosynthetic apparatus in drought, chlorophyll a (Chl a) fluorescence was measured in 16 elite soybean lines in drought and conditions with sufficient water supply in V2 (second node), R1 (beginning bloom), R4 (full pod), R5 (beginning seed) and R6 (full seed) stages. Developmental stage was a significant source of variation for all parameters, and PI total was chosen as the most sensitive parameter in detecting the average drought effect. Genotypes G5, G9, and G10 had superior overall functioning of the photosynthetic apparatus in drought, while the photosynthetic apparatus of G12 and G16 was the least functional. The drought effect was determined to be the most relevant in R1, R4 and R6. G14 had highest PI total in drought conditions in R1 and R4, while G9 had the highest drought-stressed PI total in R6. G7 had the lowest drought-stressed PI total in R1, G4 and G6 had the lowest in R4, and G8 had the lowest in R6. PI total proved useful in breeding for abiotic stress tolerance, especially for excluding the material with the poorest photosynthetic apparatus function, which increases the efficiency of the selection process when a large number of genotypes needs to be screened. However, genotypes with superior photosynthetic apparatus functioning should be further tested in yield trials to confirm their drought tolerance and value for use in drought conditions.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Chlorophyll a fluorescence as tool in breeding drought stress-tolerant soybean

Kočar¹,

Josipović²,

Sudarić³

et al. 2022

JCEA

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“…Soybean plants generally ends vegetative growth around R5, the start of the seed filling period, (Egli and Leggett, 1973), and the CGR reaches its maximum just then (Board and Kahlon, 2011). Total dry weight at this stage has value in predicting yield: seed weight increased quadratically with the increase in total dry weight at this stage in an analysis of studies conducted across 1987-1996 near Baton Rouge, LA involving a wide range of environmental conditions (Board and Modali, 2005).…”

Section: Discussionmentioning

confidence: 99%

Relationship between Seed Yield and Dry Matter Production in Unbranched Soybean ‘Fukuyutaka’ and ‘Misato-zairai’ Shaded from Flowering

Nagasuga

Umezaki

2022

Environmental Control in Biology

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We analyzed the seed production of soybean (Glycine max (L.) Merr.) plants growth of cultivars 'Fukuyutaka,' popular in western Japan, and 'Misato-zairai,' local to Mie Prefecture, grown under shade from beginning bloom (R1) stage. To simplify the sink-source relationship, all branches and buds were removed during the shading. In both cultivars, shading decreased pod and seed numbers and seed weight. These were correlated linearly with pod growth rate after flowering, except that the relationship with seed weight was quadratic. Shading also decreased total dry weight, but had little effect on leaf area index (LAI) or SPAD at the beginning seed stage (R5). Pod growth rate after flowering was correlated with crop growth rate (CGR) during pod set. CGR was corelated with net assimilation rate (NAR), but not average LAI during pod set. Stem weight at maturity was corelated with LAI at R5. 'Misato-zairai' responded to shading similarly to 'Fukuyutaka,' but with large increases in CGR with NAR and in stem weight with LAI at R5.

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“…Several morpho-physiological plant traits are closely associated with available soil water, so their accurate detection could help determine irrigation thresholds and suitable scheduling, and play an important role in improving irrigation water management and saving irrigation water. For instance, Board and Kahlon [89] reported that the levels of soil moisture stress that cause significant reductions in the seed yield of soybean crops can be predicted through indirect assessment of the total dry matter accumulation in the early growth stage. Thus, the simultaneous and regular assessment of such plant traits using quick, simple, and non-destructive tools could play a vital role in saving irrigation water while achieving the target yield through the proper management of deficit irrigation, as explained in the following sections.…”

Section: Performance Of Remote Sensing Indices For Assessing the Measured Plant Traitsmentioning

confidence: 99%

Combining Thermal and RGB Imaging Indices with Multivariate and Data-Driven Modeling to Estimate the Growth, Water Status, and Yield of Potato under Different Drip Irrigation Regimes

et al. 2021

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Advances in proximal hyperspectral sensing tools, chemometric techniques, and data-driven modeling have enhanced precision irrigation management by facilitating the monitoring of several plant traits. This study investigated the performance of remote sensing indices derived from thermal and red-green-blue (RGB) images combined with stepwise multiple linear regression (SMLR) and an integrated adaptive neuro-fuzzy inference system with a genetic algorithm (ANFIS-GA) for monitoring the biomass fresh weight (BFW), biomass dry weight (BDW), biomass water content (BWC), and total tuber yield (TTY) of two potato varieties under 100%, 75%, and 50% of the estimated crop evapotranspiration (ETc). Results showed that the plant traits and indices varied significantly between the three irrigation regimes. Furthermore, all of the indices exhibited strong relationships with BFW, CWC, and TTY (R2 = 0.80–0.92) and moderate to weak relationships with BDW (R2 = 0.25–0.65) when considered for each variety across the irrigation regimes, for each season across the varieties and irrigation regimes, and across all data combined, but none of the indices successfully assessed any of the plant traits when considered for each irrigation regime across the two varieties. The SMLR and ANFIS-GA models gave the best predictions for the four plant traits in the calibration and testing stages, with the exception of the SMLR testing model for BDW. Thus, the use of thermal and RGB imaging indices with ANFIS-GA models could be a practical tool for managing the growth and production of potato crops under deficit irrigation regimes.

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Soybean Yield Formation: What Controls It and How It Can Be Improved

Cited by 15 publications

References 155 publications

Chlorophyll a fluorescence as tool in breeding drought stress-tolerant soybean

Chlorophyll a fluorescence as tool in breeding drought stress-tolerant soybean

Relationship between Seed Yield and Dry Matter Production in Unbranched Soybean ‘Fukuyutaka’ and ‘Misato-zairai’ Shaded from Flowering

Combining Thermal and RGB Imaging Indices with Multivariate and Data-Driven Modeling to Estimate the Growth, Water Status, and Yield of Potato under Different Drip Irrigation Regimes

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