Unveiling constraints and cultivating potential: Optimizing spring sugar beet yield through boundary line analysis

To enhance crop yields, narrowing the gap between actual and achievable yields is crucial. One approach involves identifying yield-limiting factors and their optimal levels. Boundary line analysis (BLA), a statistical method, quantifies yield response to environmental or managerial factors while acc...

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Main Authors: Peyman Hesadi, Hamid Mozaffari, Saeed Sadeghzadeh Hemayati, Payam Moaveni, Behzad Sani
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Results in Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024003554
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author Peyman Hesadi
Hamid Mozaffari
Saeed Sadeghzadeh Hemayati
Payam Moaveni
Behzad Sani
author_facet Peyman Hesadi
Hamid Mozaffari
Saeed Sadeghzadeh Hemayati
Payam Moaveni
Behzad Sani
author_sort Peyman Hesadi
collection DOAJ
description To enhance crop yields, narrowing the gap between actual and achievable yields is crucial. One approach involves identifying yield-limiting factors and their optimal levels. Boundary line analysis (BLA), a statistical method, quantifies yield response to environmental or managerial factors while accounting for variable factors. In 2020, a study surveyed 180 spring sugar beet farms in Iran. The findings revealed a 50.7 % yield gap (11.13 t ha−1) between farmers’ average sugar yield (10.84 t ha−1) and potential yield (21.97 t ha−1). BLA implicated low plant density, soil organic content, lack of potassium (K)-containing fertilizers, and non-adherence to crop rotation principles in 81.3 %, 75.5 %, 53.4 %, and 51.1 % of farms, respectively. Optimal levels were estimated at 9.5 plants m−1, 1.15 % soil organic content, 100 kg ha−1 K fertilization rate, and 5–9.8 as the rotation numerical value. Other limiting factors included time from cultivation to thinning and sowing date. The optimal minimum time between planting and thinning stood at 38 days, with the latest sowing date estimated at 94 Julian days (May 5). Achieving attainable yield necessitates limiting root exposure to 4.9 days, keeping disease damage below 15.3 %, and increasing irrigation frequency to over 10 times. In the short term, increasing plant density to optimal levels, promoting K fertilizer use, and adjusting thinning and sowing dates can significantly boost sugar yield per unit area.
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spelling doaj.art-c428148494184d4fbfc70d219b3b0ab92024-04-13T04:21:41ZengElsevierResults in Engineering2590-12302024-06-0122102101Unveiling constraints and cultivating potential: Optimizing spring sugar beet yield through boundary line analysisPeyman Hesadi0Hamid Mozaffari1Saeed Sadeghzadeh Hemayati2Payam Moaveni3Behzad Sani4Department of Agronomy, Shahr-e-Qods Branch, Islamic Azad University, Tehran, IranDepartment of Agronomy, Shahr-e-Qods Branch, Islamic Azad University, Tehran, IranSugar Beet Seed Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran; Corresponding author.Department of Agronomy, Shahr-e-Qods Branch, Islamic Azad University, Tehran, IranDepartment of Agronomy, Shahr-e-Qods Branch, Islamic Azad University, Tehran, IranTo enhance crop yields, narrowing the gap between actual and achievable yields is crucial. One approach involves identifying yield-limiting factors and their optimal levels. Boundary line analysis (BLA), a statistical method, quantifies yield response to environmental or managerial factors while accounting for variable factors. In 2020, a study surveyed 180 spring sugar beet farms in Iran. The findings revealed a 50.7 % yield gap (11.13 t ha−1) between farmers’ average sugar yield (10.84 t ha−1) and potential yield (21.97 t ha−1). BLA implicated low plant density, soil organic content, lack of potassium (K)-containing fertilizers, and non-adherence to crop rotation principles in 81.3 %, 75.5 %, 53.4 %, and 51.1 % of farms, respectively. Optimal levels were estimated at 9.5 plants m−1, 1.15 % soil organic content, 100 kg ha−1 K fertilization rate, and 5–9.8 as the rotation numerical value. Other limiting factors included time from cultivation to thinning and sowing date. The optimal minimum time between planting and thinning stood at 38 days, with the latest sowing date estimated at 94 Julian days (May 5). Achieving attainable yield necessitates limiting root exposure to 4.9 days, keeping disease damage below 15.3 %, and increasing irrigation frequency to over 10 times. In the short term, increasing plant density to optimal levels, promoting K fertilizer use, and adjusting thinning and sowing dates can significantly boost sugar yield per unit area.http://www.sciencedirect.com/science/article/pii/S2590123024003554Plant densityThinningYield gapYield potential
spellingShingle Peyman Hesadi
Hamid Mozaffari
Saeed Sadeghzadeh Hemayati
Payam Moaveni
Behzad Sani
Unveiling constraints and cultivating potential: Optimizing spring sugar beet yield through boundary line analysis
Results in Engineering
Plant density
Thinning
Yield gap
Yield potential
title Unveiling constraints and cultivating potential: Optimizing spring sugar beet yield through boundary line analysis
title_full Unveiling constraints and cultivating potential: Optimizing spring sugar beet yield through boundary line analysis
title_fullStr Unveiling constraints and cultivating potential: Optimizing spring sugar beet yield through boundary line analysis
title_full_unstemmed Unveiling constraints and cultivating potential: Optimizing spring sugar beet yield through boundary line analysis
title_short Unveiling constraints and cultivating potential: Optimizing spring sugar beet yield through boundary line analysis
title_sort unveiling constraints and cultivating potential optimizing spring sugar beet yield through boundary line analysis
topic Plant density
Thinning
Yield gap
Yield potential
url http://www.sciencedirect.com/science/article/pii/S2590123024003554
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AT payammoaveni unveilingconstraintsandcultivatingpotentialoptimizingspringsugarbeetyieldthroughboundarylineanalysis
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