Analysis of Nutrient-Specific Response of Maize Hybrids in Relation to Leaf Area Index (LAI) and Remote Sensing

Szabó, Atala; Mousavi, Seyed Mohammad Nasir; Bojtor, Csaba; Ragán, Péter; Nagy, János; Vad, Attila; Nagy, J.

doi:10.3390/plants11091197

Cited by 10 publications

(7 citation statements)

References 47 publications

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“…KSC206, KSC704, KSC705 and KSC706 were identified as desirable single cross maize drought tolerant hybrids [ 139 ]. Szabó et al [ 114 ] studied the nutrient specific response of seven maize hybrids namely: SY Minerva, DKC4792, Sushi, Fornad, Loupiac, P0217 and Armagnac. Four early-maturing sweet maize hybrids: ‘Gyöngyhajnal’, ‘Nugát 72’, ‘Strongstar’ and ‘Sweetstar’ commonly grown by Hungarian maize farmers have been investigated for cold stress tolerance [ 59 ].…”

Section: Resultsmentioning

confidence: 99%

“…Crop water use efficiency depends on several factors, namely: water holding capacity (WHC), crop physiological characteristics, meteorological (climatic) conditions, genotype and agronomic practices [ 113 ]. Improvement of water use efficiency for maize can be achieved through application of nitrogenous fertilisers for areas that receive enough rainfall or irrigation [ 114 ]. Nutrient supply management improves water use efficiency.…”

Section: Resultsmentioning

confidence: 99%

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Impact of research on maize production challenges in Hungary

Ssemugenze,

Ocwa,

Bojtor

et al. 2024

Heliyon

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Impact of research on maize production challenges in Hungary

Ssemugenze,

Ocwa,

Bojtor

et al. 2024

Heliyon

Self Cite

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“…Leaves are the main organs for photosynthesis and carbohydrate accumulation [ 30 ]. Leaf area index (LAI) is a key parameter for characterizing the structure and function of the canopy [ 31 ]. Previous studies also reported that high-yield maize populations have a higher leaf area index [ 32 , 33 ].…”

Section: Discussionmentioning

confidence: 99%

Integrated Management Practices for Canopy–Topsoil Improves the Grain Yield of Maize with High Planting Density

Sun

Wen

et al. 2023

Plants

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Inappropriate spatial distribution of canopy and roots limits further improvements to the grain yield of maize with increased planting density. We explored an integrated management practice called strip deep rotary with staggered planting (SRS) which includes comprehensive technology for both canopy layers and topsoil. Here, field experiments were conducted under two maize cropping systems (spring maize and summer maize) to evaluate the effect of SRS on the spatial distribution of the canopy and roots for maize under high planting density (90,000 plants ha−1) and to determine the physiological factors involved in yield formation. Compared with conventional management practices (no-tillage with single planting, NTS), SRS decreased the LAI of the middle to top layers while improving the light distribution of the middle and lower layers by 72.99% and 84.78%, respectively. Meanwhile, SRS increased the root dry weight density and root sap bleeding by 51.26% and 21.77%, respectively, due to the reduction in soil bulk density by an average of 5.08% in the 0–40 cm soil layer. SRS improved the SPAD in the ear and lower leaves and maximized the LAD, which was conducive to dry matter accumulation (DMA), increasing it by 14.02–24.16% compared to that of NTS. As a result, SRS increased maize grain yield by 6.71–25.44%. These results suggest that strip deep rotary combined with staggered planting noticeably optimized the distribution of light in the canopy and reduced the soil bulk density to promote root vitality and growth, to maintain canopy longevity, and to promote the accumulation of dry matter, which eventually increased the grain yield of the maize under high planting density conditions. Therefore, SRS can be considered a better choice for the sustainable high yield of maize under high-density planting conditions in the NCP and similar areas throughout the world.

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“…The LAI, defined as the total one-sided leaf area per unit of ground area, is a crucial factor in climatic, ecological, and agronomical studies [11,12]. It is essential to exactly estimate the LAI for accurate simulations of transpiration, dry matter, and biomass accumulation; therefore, it has a large influence on crop growth and yield [13,14].…”

Section: Introductionmentioning

confidence: 99%

Utilization of UAV Remote Sensing in Plant-Based Field Experiments: A Case Study of the Evaluation of LAI in a Small-Scale Sweetcorn Experiment

Jung

Tajima

et al. 2023

Agriculture

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In crop production, which is largely dependent on environmental conditions, various attempts at environmental or social changes have been highlighted, and many field experiments are needed for them. However, since field experiments in agricultural production are constrained by high labor and time consumption, alternative methods to respond to these constraints are required. In this study, to establish a new method for application to field experiments, we proposed the evaluation of the leaf area index (LAI) of all individual plants in an experimental sweetcorn field using an unmanned aerial vehicle (UAV). Small-scale field experiments were conducted over two years. In the first year, the nitrogen fertilizer level was changed, and the plant density and additional nitrogen fertilizer application time were changed in the next year. Three vegetation indices (VIs), namely, the normalized difference vegetation index (NDVI), enhanced vegetation index 2 (EVI2), and simple ratio (SR), were validated to quantify the LAI estimation using a UAV for individual plants. For the evaluation of the individual plants, we used a plant-based method, which created all of the plant buffers based on the points of existing plants and the plant distance. To confirm the impact of the method, we additionally demonstrated the relationship between the LAI and yield, the results of statical analyses, and the difference of the center and the border of the field. Among the three VIs, index SR was found the most promising in the estimation of the LAI of the individual sweetcorn plants, providing the strongest correlation of yield with SR. Because a lot of data were obtained using the plant-based method, the statical differences in the LAI and yield were more easily detected for the plant density and fertilizer treatments. Furthermore, interesting differences between the center and the border of the field were found. These results indicate the availability and impact of plant-based evaluations using UAVs in near future field experiments.

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Analysis of Nutrient-Specific Response of Maize Hybrids in Relation to Leaf Area Index (LAI) and Remote Sensing

Cited by 10 publications

References 47 publications

Impact of research on maize production challenges in Hungary

Impact of research on maize production challenges in Hungary

Integrated Management Practices for Canopy–Topsoil Improves the Grain Yield of Maize with High Planting Density

Utilization of UAV Remote Sensing in Plant-Based Field Experiments: A Case Study of the Evaluation of LAI in a Small-Scale Sweetcorn Experiment

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