Aims and scope

Ingeniería Agrícola y Biosistemas (Agricultural and Biosystems Engineering; INAGBI) is a bilingual (Spanish and English) scientific journal published by the Universidad Autónoma Chapingo on a biannual basis. It offers professionals in agricultural and biosystems engineering a means of disseminating and discussing the results of unpublished research. In this sense, the journal’s aim is to disseminate the results of scientific research and technological developments related to biological systems and agricultural engineering.

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    Volume Vol. 16, issue 1, Issue 1 January - June 2024   Creative Commons License

      
 

     Vol. 16, issue 1 January - June 2024  

   Creative Commons License

 
  
 
 
  • Cotton and its response to different soil water conditions

  • El algodón y su respuesta a diferentes condiciones hídricas del suelo

Marco Antonio Inzunza-Ibarra; Ignacio Sánchez-Cohen; Sergio Iván Jiménez-Jiménez; Mariana de Jesús Marcial-Pablo; Ernesto Sifuentes-Ibarra

Gossypium hirsutum, yield function, water requirement, reflectometry

10.5154/r.inagbi.2023.06.035

Received: 2023-06-06
Accepted: 2024-03-12
Available online: 2024-05-02
Pages:03-12

Introduction: One of the biggest problems in cotton farming in the Comarca Lagunera, Mexico, is the low efficiency of irrigation, since the large quantities of water used for this crop result in water shortages.
Objectives: To determine the response function of the cotton crop to different soil moisture contents, as well as the water use efficiency.
Methodology: Seven treatments were evaluated in the field: 40-40, 40-80, 60-60, 60-100, 80-40, 80-80 and 100-60 % of available moisture consumed (AMC) by the cotton plant at two phenological stages. Treatments were distributed in a randomized block design with four replications.
Results: The highest cotton yield (8.7 Mg∙ha-1) was obtained with the treatment that developed under 63 and 62 % AMC at the first and second stages of development, respectively, by consuming 97 cm of water.
Limitation of the study: The models do not predict satisfactorily when extrapolating outside the range of moisture levels considered in the study.
Originality: No studies have been reported on extreme favorable and unfavorable conditions of soil moisture content in cotton to know its productive response.
Conclusions: The obtained model maximizes cotton production (8.74 Mg∙ha-1) with a water deficit of 59 and 56 % AMC. The highest water productivity (0.945 kg∙m-3) was obtained with 81 and 82 % AMC and 78 cm of water consumption.

Introduction: One of the biggest problems in cotton farming in the Comarca Lagunera, Mexico, is the low efficiency of irrigation, since the large quantities of water used for this crop result in water shortages.
Objectives: To determine the response function of the cotton crop to different soil moisture contents, as well as the water use efficiency.
Methodology: Seven treatments were evaluated in the field: 40-40, 40-80, 60-60, 60-100, 80-40, 80-80 and 100-60 % of available moisture consumed (AMC) by the cotton plant at two phenological stages. Treatments were distributed in a randomized block design with four replications.
Results: The highest cotton yield (8.7 Mg∙ha-1) was obtained with the treatment that developed under 63 and 62 % AMC at the first and second stages of development, respectively, by consuming 97 cm of water.
Limitation of the study: The models do not predict satisfactorily when extrapolating outside the range of moisture levels considered in the study.
Originality: No studies have been reported on extreme favorable and unfavorable conditions of soil moisture content in cotton to know its productive response.
Conclusions: The obtained model maximizes cotton production (8.74 Mg∙ha-1) with a water deficit of 59 and 56 % AMC. The highest water productivity (0.945 kg∙m-3) was obtained with 81 and 82 % AMC and 78 cm of water consumption.

 
 
  • Evaluation of handheld optical sensors and drone-acquired multispectral images for yield estimation

  • Evaluación de sensores ópticos manuales e imágenes multiespectrales adquiridas con dron para estimación de rendimiento

Víctor Manuel Gordillo-Salinas; Alondra Villeda-Monsalvo; Juan Arista-Cortes; Jorge Flores-Velázquez

vegetation indices, GreenSeeker, SPAD502+, phenological stage, wheat

10.5154/r.inagbi.2024.03.015

Received: 2023-03-12
Accepted: 2024-07-23
Available online: 2024-09-20
Pages:15-29

Introduction:Chlorophyll in wheat leaves is linked to grain yield, and measuring its reflectance allows predicting crop yield.
Objective: To evaluate the potential of GreenSeeker (GS) and SPAD502+ sensors, and spectral images acquired with an infrared camera fitted on an unmanned aerial vehicle (UAV) to estimate grain yield in wheat.
Methodology: Variable nitrogen concentrations were applied, and readings were taken with SPAD502+ and direct GS on wheat during the thickened sheath and heading phenological stages. Simultaneously, aerial images were captured with a multispectral camera to determine vegetation indices.
Results: The comparison between measured and estimated yields with optical sensors shows that GS presented the best fit, with a coefficient of determination (R2) of 0.86 in thickened sheaths. The fit with the green normalized difference vegetation index (GNDVI) was better in heading (R2 = 0.89).
Limitations of the study: Sensors with higher spectral resolution and earlier crop stages should be evaluated to estimate yield earlier.
Originality: The study shows the potential of optical sensors to estimate yield, thereby overcoming the time and economic resource limitations entailed in conventional methods.
Conclusions: GNDVI and GS are reliable, fast and non-destructive options to forecast wheat grain yield; however, UAVs allow scaling up crop monitoring and reducing the time to obtain field information.

Introduction:Chlorophyll in wheat leaves is linked to grain yield, and measuring its reflectance allows predicting crop yield.
Objective: To evaluate the potential of GreenSeeker (GS) and SPAD502+ sensors, and spectral images acquired with an infrared camera fitted on an unmanned aerial vehicle (UAV) to estimate grain yield in wheat.
Methodology: Variable nitrogen concentrations were applied, and readings were taken with SPAD502+ and direct GS on wheat during the thickened sheath and heading phenological stages. Simultaneously, aerial images were captured with a multispectral camera to determine vegetation indices.
Results: The comparison between measured and estimated yields with optical sensors shows that GS presented the best fit, with a coefficient of determination (R2) of 0.86 in thickened sheaths. The fit with the green normalized difference vegetation index (GNDVI) was better in heading (R2 = 0.89).
Limitations of the study: Sensors with higher spectral resolution and earlier crop stages should be evaluated to estimate yield earlier.
Originality: The study shows the potential of optical sensors to estimate yield, thereby overcoming the time and economic resource limitations entailed in conventional methods.
Conclusions: GNDVI and GS are reliable, fast and non-destructive options to forecast wheat grain yield; however, UAVs allow scaling up crop monitoring and reducing the time to obtain field information.

 

COretention and application frequency optimizes yield per gas used in hydroponic lettuce

Federico Hahn-Schlam;Edi Manqueiros;Juan José Aguilar;Homero Alonso;Abel Lorenzo-Cabrera;Rafael de la Cruz

10.5154/r.inagbi.2009.04.001

Received: 2009-04-25
Accepted: 2009-06-24
Available online: 2009-06-29

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Simultaneous three climatic variable predictions in a greenhouse

Raquel Salazar-Moreno;Abraham Rojano-Aguilar;Uwe Schmidt;Christian Huber

10.5154/r.inagbi.2009.05.013

Received: 2009-05-31
Accepted: 2009-06-24
Available online: 2009-06-15

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Mechanical properties and ripening of mango fruits (Mangifera indica L.) under axial compression

Artemio Pérez-López;Carlos Alberto Villaseñor-Perea;Verónica Crisanto-Martínez;J. Joel Corrales-García

10.5154/r.inagbi.2009.05.011

Received: 2009-05-28
Accepted: 2009-06-23
Available online: 2009-06-15

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Beans (Phaseolus vulgaris L.) nixtamalization optimization and development of new food PRODUCT

Paula Téllez-Téllez;Adriana Arellano-San Vicente;María Ofelia Buendía-González;Juan Velázquez-Mendoza;María Griselda Vázquez-Carrillo

10.5154/r.inagbi.2009.06.014

Received: 2009-06-03
Accepted: 2009-06-20
Available online: 2009-06-15

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Modeling of a modified atmosphere to preserve husk tomato (Physalis ixocarpa BROT.) fruits

Salvador Valle-Guadarrama;Adalberto Gómez-Cruz;Fabiola Cruz-Cruz;Armando Chan-Chi

10.5154/r.inagbi.2009.05.004

Received: 2009-05-15
Accepted: 2009-06-20
Available online: 2009-06-15

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Texture and microstructure of low-fat and low-cholesterol panela type cheeses: different methodologies

Consuelo Lobato-Calleros;Ivanhoe Lozano-Castañeda;E. Jaime Vernon-Carter

10.5154/r.inagbi.2009.05.009

Received: 2009-05-26
Accepted: 2009-06-25
Available online: 2009-06-15

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Tractional force of the plow subsoiler as a function of work width

Eugenio Romantchik-Kriuchkova;Ismael Sandoval-Assia;Noel Chávez-Aguilera;José Gaytán-Ruelas;Pedro Mayans-Céspedes

10.5154/r.inagbi.2009.05.007

Received: 25-05-2009
Accepted: 28-06-2009
Available online: 2014-06-30

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Gamma irradiation as a quarantine treatment on guava fruits (Psidium guajava L.) and changes in its quality

María del Rosario Justo-Gómez;Arturo Hernández-Montes

10.5154/r.inagbi.2009.05.006

Received: 2009-05-20
Accepted: 2009-06-29
Available online: 2009-06-15

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Analysis of guava (Psisium guajava L.) fruits under compression and its relation to physiological processes

José Antonio Yam-Tzec;Carlos Alberto Villaseñor-Perea;Eugenio Romantchik-Kriuchkova;Martín Soto-Escobar;Miguel Ángel Peña-Peralta

10.5154/r.inagbi.2009.05.003

Received: 2009-05-08
Accepted: 2009-06-30
Available online: 2009-06-15

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Land use change and runoff in the Huehuetan watershed

Juan Juárez-Méndez;Laura A. Ibáñez-Castillo;Samuel Pérez-Nieto;José Luis L. Arellano-Monterrosas

10.5154/r.inagbi.2009.07.016

Received: 2009-06-24
Accepted: 2010-04-14
Available online: 2010-06-12

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Tires pull force of a tractor in the 4X2 and 4x4 schemes when it makes a turn

Álvaro Morelos-Moreno;Eugenio Romantchik-Kriuchkova;José Gaytán-Ruelas;Carlos Alberto Villaseñor-Perea

10.5154/r.inagbi.2009.07.015

Received: 2009-06-07
Accepted: 2010-04-09
Available online: 2010-06-15

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Onion slices dehydration in a dryer with air dehumidification based on silica gel

Federico Hahn-Schlam;José Manuel Vargas-Sállago

10.5154/r.inagbi.2009.10.019

Received: 0000-00-00
Accepted: 0000-00-00
Available online: 2010-06-15

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