Regional multi-environment analysis of corn productivity and yield stability as impacted by hybrid maturity

Salvo, Juan Ignacio Di; Lee, Chad; Salmerón, Montse

doi:10.1016/j.fcr.2020.108025

Cited by 10 publications

(4 citation statements)

References 35 publications

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“…The inbred lines and testers that are closer to zero are characterized as the most stable or, in this case, had similar performance in the crossings with the different testers. Those furthest from zero are more adapted or have the best combination with specific testers and contributed more to the inbred lines x testers interaction (IPCA 1) (sALvo et al, 2021).…”

Section: Resultsmentioning

confidence: 99%

“…The correlation between testers can be an important analysis, especially when referring to the selection for future crossings in which highly correlated testers can be discarded, allowing a reduction in the number of testers used. According to the biplot of the scores in environment 1, even though there was a correlation between some testers, there was no formation of groups (CRoSSA et al, 1991;DI sALvo et al, 2021).…”

Section: Rosa Et Almentioning

confidence: 94%

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Maize topcrosses for yield performance by additive main effects and multiplicative interaction analysis

et al. 2022

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The analysis of main additive effects and multiplicative interaction is commonly used in the evaluation of the genotype x environment interaction, however, its application can be used for other purposes, as it is performed in the presentresearch, which uses this technique in the selection of inbred lines, testers and hybrids in maize topcrosses. Thisresearch determined the effect of the inbred lines x testers interaction through the analysis of main additive effects and multiplicative interaction, verifying their efficiency in the selection of inbred lines, testers and hybrid combinations in topcrosses. The trials were carried out in the 2015/16 and 2016/17 crop seasons, with a complete block design, with three replications. Thirty S3 maize inbred lines were evaluated in crosses with the AG8025, P30B39, MLP102, 60.H23.1 and 70.H26.1 testers forming 150 hybrids topcrosses. The trait evaluated was grain yield. The adaptability and stability of testers and inbred lines were evaluated by the methodology of analysis of main additive effects and multiplicative interaction directed to the interaction of testers x inbred lines. The 96.3 inbred line has the most homogeneous performance and the highest grain yield, considering the crossing with all testers in both environments. The 70.H26.1 tester is considered the most stable and the most recommended for topcrosses. The best specific combinations were 96.3 x 70.H26.1 and 96.3 x 60.H23.1.

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Section: Resultsmentioning

confidence: 99%

Section: Rosa Et Almentioning

confidence: 94%

Maize topcrosses for yield performance by additive main effects and multiplicative interaction analysis

et al. 2022

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“…In principle, a full-season variety can take better advantage of the available heat units and thus give a better yield. However, to vary planting and/or harvesting dates, delay flowering and pollination to protect against drought, earlier maturities are sometimes preferred (Di Salvo et al, 2021).…”

Section: Fields Descriptionmentioning

confidence: 99%

Out-of-Year Corn Yield Prediction at Field-Scale Using Sentinel-2 Satellite Imagery and Machine Learning Methods

Desloires¹,

Ienco²,

Botrel³

2023

Preprint

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“…Self-sufficiency can be achieved only by preserving the existing natural resources and achieving the highest production efficiency [1]. Maize is one of the most important grain crops and plays an important role in ensuring world grain production security and sustainable agricultural development [2][3][4]. Under the background that the demand for grain output is constantly increasing, but the planting area cannot be increased, the overall yield can only be increased by increasing the yield rate per unit area.…”

Section: Introductionmentioning

confidence: 99%

Design Evaluation and Performance Analysis of the Inside-Filling Air-Assisted High-Speed Precision Maize Seed-Metering Device

Wang

et al. 2021

Sustainability

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In view of the problems of a poor seed-filling state and poor seed-cleaning effect of a precision metering device under high-speed working conditions, an inside-filling air-assisted high-speed precision maize seed-metering device was designed, fabricated, and evaluated. The overall structure and working principles of the seed-metering device are explained. Theoretical analysis and parametric design of the key parts, such as the horizontal stirring notch seed-metering plate and the wheel seed-cleaning mechanism, were carried out. The main factors that produce multiple seeding problems were studied. The forward speed (FS) and working pressure (WP) of the seed-metering device are determined as the main factors affecting the seeding performance. A quadratic orthogonal rotation combination experiment was designed. The relationship between influencing factors and performance indexes was constructed using the Design-Expert 10.0.7 software. The response surface method was used to optimize the experimental results. The results of the bench validation experiments showed that the seeding performance of the seed-metering device was excellent when the FS of the seed-metering device was 13.10 km/h and the WP of the seed-metering device was 4.75 kPa. The results of the bench comparison showed that the seeding performance of the designed seed-metering device was better than that of the conventional air-suction precision seed-metering device. This study provides theoretical and practical references for the optimized design of a pneumatic precision seed-metering device and the sustainable development of grain.

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Regional multi-environment analysis of corn productivity and yield stability as impacted by hybrid maturity

Cited by 10 publications

References 35 publications

Maize topcrosses for yield performance by additive main effects and multiplicative interaction analysis

Maize topcrosses for yield performance by additive main effects and multiplicative interaction analysis

Out-of-Year Corn Yield Prediction at Field-Scale Using Sentinel-2 Satellite Imagery and Machine Learning Methods

Design Evaluation and Performance Analysis of the Inside-Filling Air-Assisted High-Speed Precision Maize Seed-Metering Device

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