Comparison of three transgenic peanut lines with their parents for agronomic and physiological characteristics

Balota, Maria; Partridge-Telenko, Darcy E.; Phipps, P. M.; Grabau, Elizabeth A.

doi:10.3146/ps14-10.1

Cited by 4 publications

(4 citation statements)

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“…The land was tilled, and seedbeds were uniformly raised to 15 cm in height before planting. Cultivation practices recommended by the Virginia Peanut Production Guide were implemented [41]. The plots were rainfed until 8 weeks after planting (WAPs), after which rainout shelters were pulled over the drought regime plots.…”

Section: Plant Materials and Experimental Designmentioning

confidence: 99%

Phenotyping Peanut Drought Stress with Aerial Remote-Sensing and Crop Index Data

Balota,

Sarkar,

Bennett

et al. 2024

Agriculture

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Peanut (Arachis hypogaea L.) plants respond to drought stress through changes in morpho-physiological and agronomic characteristics that breeders can use to improve the drought tolerance of this crop. Although agronomic traits, such as plant height, lateral growth, and yield, are easily measured, they may have low heritability due to environmental dependencies, including the soil type and rainfall distribution. Morpho-physiological characteristics, which may have high heritability, allow for optimal genetic gain. However, they are challenging to measure accurately at the field scale, hindering the confident selection of drought-tolerant genotypes. To this end, aerial imagery collected from unmanned aerial vehicles (UAVs) may provide confident phenotyping of drought tolerance. We selected a subset of 28 accessions from the U.S. peanut mini-core germplasm collection for in-depth evaluation under well-watered (rainfed) and water-restricted conditions in 2018 and 2019. We measured morpho-physiological and agronomic characteristics manually and estimated them from aerially collected vegetation indices. The peanut genotype and water regime significantly (p < 0.05) affected all the plant characteristics (RCC, SLA, yield, etc.). Manual and aerial measurements correlated with r values ranging from 0.02 to 0.94 (p < 0.05), but aerially estimated traits had a higher broad sense heritability (H2) than manual measurements. In particular, CO2 assimilation, stomatal conductance, and transpiration rates were efficiently estimated (R2 ranging from 0.76 to 0.86) from the vegetation indices, indicating that UAVs can be used to phenotype drought tolerance for genetic gains in peanut plants.

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Section: Plant Materials and Experimental Designmentioning

confidence: 99%

Phenotyping Peanut Drought Stress with Aerial Remote-Sensing and Crop Index Data

Balota,

Sarkar,

Bennett

et al. 2024

Agriculture

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“…In 2018, seed for all accessions were from Oklahoma. Cultural practices were performed following extension recommendations [62]. Plots were not irrigated.…”

Section: Experiments Informationmentioning

confidence: 99%

Evaluation of the U.S. Peanut Germplasm Mini-Core Collection in the Virginia-Carolina Region Using Traditional and New High-Throughput Methods

et al. 2022

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Peanut (Arachis hypogaea L.) is an important food crop for the U.S. and the world. The Virginia-Carolina (VC) region (Virginia, North Carolina, and South Carolina) is an important peanut-growing region of the U.S and is affected by numerous biotic and abiotic stresses. Identification of stress-resistant germplasm, along with improved phenotyping methods, are important steps toward developing improved cultivars. Our objective in 2017 and 2018 was to assess the U.S. mini-core collection for desirable traits, a valuable source for resistant germplasm under limited water conditions. Accessions were evaluated using traditional and high-throughput phenotyping (HTP) techniques, and the suitability of HTP methods as indirect selection tools was assessed. Traditional phenotyping methods included stand count, plant height, lateral branch growth, normalized difference vegetation index (NDVI), canopy temperature depression (CTD), leaf wilting, fungal and viral disease, thrips rating, post-digging in-shell sprouting, and pod yield. The HTP method included 48 aerial vegetation indices (VIs), which were derived using red, blue, green, and near-infrared reflectance; color space indices were collected using an octocopter drone at the same time, with traditional phenotyping. Both phenotypings were done 10 times between 4 and 16 weeks after planting. Accessions had yields comparable to high yielding checks. Correlation coefficients up to 0.8 were identified for several Vis, with yield indicating their suitability for indirect phenotyping. Broad-sense heritability (H2) was further calculated to assess the suitability of particular VIs to enable genetic gains. VIs could be used successfully as surrogates for the physiological and agronomic trait selection in peanuts. Further, this study indicates that UAV-based sensors have potential for measuring physiologic and agronomic characteristics measured for peanut breeding, variable rate input application, real time decision making, and precision agriculture applications.

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“…Virginia market type peanut ( Arachis hypogaea L.) cultivars often vary in the length of time required to reach optimum pod maturity. The cultivars CHAMPS (Mozingo et al, 2006) and Perry (Isleib et al, 2003) can vary by as many as 9 days from emergence to when the first visible pod on a plant shows natural coloration of the testa (Balota et al, 2015; Boote, 1982). Both planting date and the timing of digging pods and inverting peanut vines can affect economic value of peanut (Jordan, 2019).…”

Section: Useful Conversionsmentioning

confidence: 99%

Response of Two Virginia Market Type Peanut Cultivars to Planting and Digging Dates in North Carolina

Jordan¹,

Johnson²,

Corbett

2019

Crop, Forage & Turfgrass Management

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Comparison of three transgenic peanut lines with their parents for agronomic and physiological characteristics

Cited by 4 publications

References 0 publications

Phenotyping Peanut Drought Stress with Aerial Remote-Sensing and Crop Index Data

Phenotyping Peanut Drought Stress with Aerial Remote-Sensing and Crop Index Data

Evaluation of the U.S. Peanut Germplasm Mini-Core Collection in the Virginia-Carolina Region Using Traditional and New High-Throughput Methods

Response of Two Virginia Market Type Peanut Cultivars to Planting and Digging Dates in North Carolina

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