Susceptibility of common bean and soybean to water stress evaluated at the sitis phenotyping platform

Guimarães, C. M.; Stone, L. F.; Zito, R. K.

doi:10.14393/bj-v33n4a2017-36731

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…The amount of water used by the plants can be monitored in each column by the difference in weight. This platform has already been used to evaluate the tolerance to water stress of cotton (GUIMARÃES et al, 2017a), soybean and common bean (GUIMARÃES et al, 2017b) cultivars.…”

Section: Methodsmentioning

confidence: 99%

Morphological and Physiological Traits of Upland Rice Cultivars Affected by Water Deficit

Guimarães

Stone

Silveira

2019

RBAI

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The use of drought-tolerant cultivars is a promising strategy to minimize the effects of water deficits on upland rice productivity. Therefore, it is important to establish an adequate methodology to evaluate the performance of upland rice cultivars under water deficit. In this study, one evaluated the effects of water deficit on morphological and physiological traits of two upland rice cultivars, in a greenhouse, in soil columns, using a phenotyping platform named SITIS. The experiment occurred in a complete randomized block design, in a split plot scheme with four replications. The main plots consisted of a well-irrigated treatment with daily replacement of 100% evapotranspired water and four water restriction regimes (daily replacement of 20%, 40%, 60% and 80% evapotranspired water at the well-irrigated treatment) and, the subplots, of the Douradão and BRS Soberana cultivars, which are tolerant and sensitive to water stress, respectively. It is feasible to use the SITIS platform and the proposed protocol (water regimes) to evaluate upland rice cultivars for tolerance to water stress. Under water deficit, the Douradão cultivar restricted its transpiration and showed harvest index, grain yield and water use efficiency higher than the BRS Soberana cultivar.

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Section: Methodsmentioning

confidence: 99%

Morphological and Physiological Traits of Upland Rice Cultivars Affected by Water Deficit

Guimarães

Stone

Silveira

2019

RBAI

Self Cite

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show abstract

“…Data were sent remotely to the cloud and accessible via the internet. In that way, [ 22 ] the system used 100 balances (scales) inside a glasshouse where each one automatically logged weight data every minute. In this study [ 22 ], two common bean cultivars demonstrate greater drought sensitivity compared to soybean cultivars.…”

Section: Introductionmentioning

confidence: 99%

“…In that way, [ 22 ] the system used 100 balances (scales) inside a glasshouse where each one automatically logged weight data every minute. In this study [ 22 ], two common bean cultivars demonstrate greater drought sensitivity compared to soybean cultivars. Thus, it is demonstrated that gravimetric platforms allow recognizing of the effects of biomass accumulation and transpiration per individual plant, as well as calculations related to the TE at the cycle end when seed yield is available.…”

Section: Introductionmentioning

confidence: 99%

LysipheN: a gravimetric IoT device for near real-time high-frequency crop phenotyping: a case study on common beans

Pineda-Castro,

Diaz,

Soto

et al. 2024

Plant Methods

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Climate instability directly affects agro-environments. Water scarcity, high air temperature, and changes in soil biota are some factors caused by environmental changes. Verified and precise phenotypic traits are required for assessing the impact of various stress factors on crop performance while keeping phenotyping costs at a reasonable level. Experiments which use a lysimeter method to measure transpiration efficiency are often expensive and require complex infrastructures. This study presents the development and testing process of an automated, reliable, small, and low-cost prototype system using IoT with high-frequency potential in near-real time. Because of its waterproofness, our device—LysipheN—assesses each plant individually and can be deployed for experiments in different environmental conditions (farm, field, greenhouse, etc.). LysipheN integrates multiple sensors, automatic irrigation according to desired drought scenarios, and a remote, wireless connection to monitor each plant and device performance via a data platform. During testing, LysipheN proved to be sensitive enough to detect and measure plant transpiration, from early to ultimate plant developmental stages. Even though the results were generated on common beans, the LysipheN can be scaled up/adapted to other crops. This tool serves to screen transpiration, transpiration efficiency, and transpiration-related physiological traits. Because of its price, endurance, and waterproof design, LysipheN will be useful in screening populations in a realistic ecological and breeding context. It operates by phenotyping the most suitable parental lines, characterizing genebank accessions, and allowing breeders to make a target-specific selection using functional traits (related to the place where LysipheN units are located) in line with a realistic agronomic background.

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LysipheN : A gravimetric IoT device for Near Real-time High-Frequency Crop Phenotyping: a case study on common beans

Pineda-Castro,

Diaz,

Soto

et al. 2023

Preprint

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Climate instability directly affects agro-environments. Water scarcity, high air temperature, and changes in soil biota are some factors caused by environmental changes. Verified and precise phenotypic traits are required for assessing the impact of various stress factors on crop performance while keeping phenotyping costs at a reasonable level. Experiments which use a lysimeter method to measure transpiration efficiency are often expensive and require complex infrastructures. This study presents the development and testing process of an automated, reliable, small, and low-cost prototype system using IoT with high-frequency potential in near-real time. Because of its waterproofness, our device - LysipheN - assesses each plant individually and can be deployed for experiments in different environmental conditions (farm, field, greenhouse, etc.). LysipheN integrates multiple sensors, automatic irrigation according to desired drought scenarios, and a remote, wireless connection to monitor each plant and device performance via a data platform. During testing, LysipheN proved to be sensitive enough to detect and measure plant transpiration, from early to ultimate plant developmental stages. Even though the results were generated on common beans, the LysipheN can be scaled up/adapted to other crops. This tool serves to screen transpiration, transpiration efficiency, and transpiration-related physiological traits. Because of its price, endurance, and waterproof design, LysipheN will be useful in screening populations in a realistic ecological and breeding context. It operates by phenotyping the most suitable parental lines, characterizing genebank accessions, and allowing breeders to make a target-specific selection using functional traits (related to the place where LysipheN units are located) in line with a realistic agronomic background.

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Susceptibility of common bean and soybean to water stress evaluated at the sitis phenotyping platform

Cited by 3 publications

References 13 publications

Morphological and Physiological Traits of Upland Rice Cultivars Affected by Water Deficit

Morphological and Physiological Traits of Upland Rice Cultivars Affected by Water Deficit

LysipheN: a gravimetric IoT device for near real-time high-frequency crop phenotyping: a case study on common beans

LysipheN : A gravimetric IoT device for Near Real-time High-Frequency Crop Phenotyping: a case study on common beans

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