https://doi.org/10.29312/remexca.v16i3.3686

elocation-id: e3686

Alonso-Sánchez, Tadeo-Robledo, Espinosa-Calderón, López-López, Arteaga-Escamilla, and Martínez-Martínez: Technified gravity irrigation in corn hybrids for the High Valleys

Journal Metadata

Journal Identifier: remexca [journal-id-type=publisher-id]

Journal Title Group

Journal Title (Full): Revista mexicana de ciencias agrícolas

Abbreviated Journal Title: Rev. Mex. Cienc. Agríc [abbrev-type=publisher]

ISSN: 2007-0934 [pub-type=ppub]

Publisher

Publisher’s Name: Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias

Article Metadata

Article Identifier: 10.29312/remexca.v16i3.3686 [pub-id-type=doi]

Article Grouping Data

Subject Group [subj-group-type=heading]

Subject Grouping Name: Articles

Title Group

Article Title: Technified gravity irrigation in corn hybrids for the High Valleys

Contributor Group

Contributor [contrib-type=author]

Name of Person [name-style=western]

Surname: Alonso-Sánchez

Given (First) Names: Homero

X (cross) Reference [ref-type=aff; rid=aff1]

Superscript: 1

Contributor [contrib-type=author]

Name of Person [name-style=western]

Surname: Tadeo-Robledo

Given (First) Names: Margarita

X (cross) Reference [ref-type=aff; rid=aff1]

Superscript: 1

X (cross) Reference [ref-type=corresp; rid=c1]

Superscript: §

Contributor [contrib-type=author]

Name of Person [name-style=western]

Surname: Espinosa-Calderón

Given (First) Names: Alejandro

X (cross) Reference [ref-type=aff; rid=aff2]

Superscript: 2

Contributor [contrib-type=author]

Name of Person [name-style=western]

Surname: López-López

Given (First) Names: Consuelo

X (cross) Reference [ref-type=aff; rid=aff1]

Superscript: 1

Contributor [contrib-type=author]

Name of Person [name-style=western]

Surname: Arteaga-Escamilla

Given (First) Names: Israel

X (cross) Reference [ref-type=aff; rid=aff1]

Superscript: 1

Contributor [contrib-type=author]

Name of Person [name-style=western]

Surname: Martínez-Martínez

Given (First) Names: Jessica Guadalupe

X (cross) Reference [ref-type=aff; rid=aff1]

Superscript: 1

Affiliation [id=aff1]

Label (of an Equation, Figure, Reference, etc.): 1

Institution Name: in an Address: Ingeniería Agrícola-Facultad de Estudios Superiores Cuautitlán-UNAM. Carretera Cuautitlán-Teoloyucan km 2.5, Col. San Sebastián Xhala, Cuautitlán Izcalli, Estado de México, México. CP. 54700. [content-type=original]

Institution Name: in an Address: Universidad Nacional Autónoma de México [content-type=normalized]

Institution Name: in an Address: Ingeniería Agrícola-Facultad de Estudios Superiores Cuautitlán [content-type=orgdiv1]

Institution Name: in an Address: UNAM [content-type=orgname]

Address Line

City: Cuautitlán Izcalli

State or Province: Estado de México

Postal Code: 54700

Country: in an Address: Mexico [country=MX]

Affiliation [id=aff2]

Label (of an Equation, Figure, Reference, etc.): 2

Institution Name: in an Address: Campo Experimental Valle de México-INIFAP. Carretera Los Reyes-Texcoco km 13.5, Coatlinchán, Texcoco, Estado de México, México. CP. 56250. [content-type=original]

Institution Name: in an Address: Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias [content-type=normalized]

Institution Name: in an Address: Campo Experimental Valle de México [content-type=orgdiv1]

Institution Name: in an Address: INIFAP [content-type=orgname]

Address Line

City: Texcoco

State or Province: Estado de México

Country: in an Address: Mexico [country=MX]

Author Note Group

Correspondence Information: [§] Autora para correspondencia: tadeorobledo@yahoo.com. [id=c1]

Publication Date [date-type=pub; publication-format=electronic]

Day: 17

Month: 05

Year: 2025

Publication Date [date-type=collection; publication-format=electronic]

Season: Apr-May

Year: 2025

Volume Number: 16

Issue Number: 3

Electronic Location Identifier: e3686

History: Document History

Date [date-type=received]

Day: 01

Month: 03

Year: 2025

Date [date-type=accepted]

Day: 01

Month: 04

Year: 2025

Permissions

License Information [license-type=open-access; xlink:href=https://creativecommons.org/licenses/by-nc/4.0/; xml:lang=es]

Este es un artículo publicado en acceso abierto bajo una licencia Creative Commons

Abstract

Title: Abstract

The technical design of gravity irrigation represents an opportunity for water savings and is an option in conditions of scarcity to improve the production of the corn crop. This work aimed to assess the effect of three moisture management conditions on the agronomic variables of white corn hybrids for the High Valleys of central Mexico. The experimental design consisted of a factorial arrangement of 10 hybrids (G1-G10) under three moisture (M) conditions, traditional irrigation (M1), technified irrigation (M2), and rainfed conditions (M3) in a design of three randomized complete blocks, established at the Cuautitlán Faculty of Higher Studies of the National Autonomous University of Mexico in Cuautitlán Izcalli, state of Mexico. The overall mean grain yield was 8.28 t ha-1 with a water utility of 1.5 kg m-3; it was 7.9 t ha-1 and 1.2 kg m-3 under traditional irrigation, 8.6 t ha-1 and 1.4 kg m-3 under technified irrigation, and 8.26 t ha-1 and 1.8 kg m-3 under rainfed conditions, respectively. The CUXI PUMA hybrid resulted with the highest productivity (9.95 t ha-1 and 1.7 kg m-3). The highest yield was obtained under technified irrigation; however, under rainfed irrigation, hybrids showed greater water utility. Under conditions of water restriction, it is advisable to produce corn under rainfed conditions because irrigation did not significantly increase yield, this would be expected in soil and climatic conditions similar to those of this experiment.

Keyword Group [xml:lang=en]

Title: Keywords:

Keyword: Zea mays

Keyword: marginal water productivity

Keyword: rainfed conditions

Funding Group

Award Group [award-type=contract]

Funding Source: UNAM

Award Identifier: IA105122 y PAPIIT IT200122

Counts

Figure Count [count=0]

Table Count [count=3]

Equation Count [count=0]

Reference Count [count=23]

Page Count [count=0]

Abstract

The technical design of gravity irrigation represents an opportunity for water savings and is an option in conditions of scarcity to improve the production of the corn crop. This work aimed to assess the effect of three moisture management conditions on the agronomic variables of white corn hybrids for the High Valleys of central Mexico. The experimental design consisted of a factorial arrangement of 10 hybrids (G1-G10) under three moisture (M) conditions, traditional irrigation (M1), technified irrigation (M2), and rainfed conditions (M3) in a design of three randomized complete blocks, established at the Cuautitlán Faculty of Higher Studies of the National Autonomous University of Mexico in Cuautitlán Izcalli, state of Mexico. The overall mean grain yield was 8.28 t ha-1 with a water utility of 1.5 kg m-3; it was 7.9 t ha-1 and 1.2 kg m-3 under traditional irrigation, 8.6 t ha-1 and 1.4 kg m-3 under technified irrigation, and 8.26 t ha-1 and 1.8 kg m-3 under rainfed conditions, respectively. The CUXI PUMA hybrid resulted with the highest productivity (9.95 t ha-1 and 1.7 kg m-3). The highest yield was obtained under technified irrigation; however, under rainfed irrigation, hybrids showed greater water utility. Under conditions of water restriction, it is advisable to produce corn under rainfed conditions because irrigation did not significantly increase yield, this would be expected in soil and climatic conditions similar to those of this experiment.

Keywords:

Zea mays, marginal water productivity, rainfed conditions.

Introduction

In the country, the gravity irrigation method predominates in irrigated agriculture (Flores-Gallardo et al., 2014; Mendoza-Pérez et al., 2016) and it is expected that its use will continue to predominate in the coming years (Shmulik, 2023) as it is applied to more than 80% of the irrigated area. This irrigation method is applied to corn crops (Mendoza-Pérez et al., 2016) and currently comprises more than 85% of the area sown with this crop under irrigation.

The nature of gravity irrigation implies low efficiency due to opportunity times deferred along the furrows; ideally, the transfer time should be 25% of the total irrigation time, which is controlled with the flow applied per furrow (Rosano-Méndez et al., 2001; Mendoza-Pérez et al., 2016; Prado-Hernández et al., 2017).

The production of corn under irrigation in Mexico, due to the planted area, consumes about 40% of the water destined for agriculture; therefore, the actions of technification of irrigation in this crop affect water and food security, since it is the main crop in the country and its irrigation has low efficiencies in the use of water at the plot level. In this sense, efficient irrigation management in corn contributes to sustainable agriculture (Flores-Gallardo et al., 2014; Inzunza-Ibarra et al., 2018; Guzmán-Luna et al., 2023).

The technification of irrigation is applied in the cultivation of grains such as corn because of its wide distribution in Mexico and because it is the main food input in the country (Inzunza-Ibarra et al., 2018; Tadeo-Robledo et al., 2022a; Guzmán-Luna et al., 2023).

Corn yield is sensitive to water deficit in the soil at the female flowering stage and is susceptible when established under rainfed conditions since water availability is random. Traditional irrigation uses qualitative observations to determine the timing of irrigation, and it is also susceptible to a deficit during the critical stage (Rosano-Méndez et al., 2001; Flores-Gallardo et al., 2014); on the other hand, under technified irrigation, the evolution of moisture in the soil is identified in order to irrigate in a timely manner (Prado-Hernández et al., 2017).

In the current context of water scarcity in irrigation systems and lack of self-sufficiency in corn production that limit water and food security (Guzmán-Luna et al., 2023), it is necessary to carry out studies of the water conditions related to corn grain production. In this context, the study aimed to define the performance of 10 corn hybrids under three moisture management conditions. The hypothesis was that, if irrigation is technified, then, at least in one hybrid, the amount of water applied is reduced without negatively affecting grain yield and increasing water use.

Materials and methods

Experimental site

The experiment was carried out in the spring-summer agricultural cycle of 2022 in the experimental field (Rancho Almaraz) of the Cuautitlán Faculty of Higher Studies (FES-C, for its acronym in Spanish) of the National Autonomous University of Mexico (UNAM), for its acronym in Spanish in Cuautitlán Izcalli, state of Mexico, located at 2 253 masl at coordinates 19° 41’ 48” north latitude and 99° 11’ 36” west longitude.

Climatic and soil conditions

In the FES-C, UNAM, the precipitation and average temperature normals are 647 mm and 15.4 °C. During the experiment, there were 462 mm and 16.6 °C, respectively. The evapotranspiration of the crop, estimated at 342 mm based on the crop coefficient approach, did not exceed the observed precipitation; for its part, the actual evapotranspiration based on the weighing lysimeter was 514 mm. The estimation of the requirements was made from the daily water balance, considering precipitation.

The soil in Cuautitlán is predominantly clay loam and has high hydraulic conductivity (Ks= 3.4 cm h-1), usable moisture (UM) of 10.4%, saturation point of 46%, bulk density of 1.11 g cm-3, low stoniness (<1%), and good fertility as a residual effect of annual applications.

Irrigation

The water for irrigation from the Guadalupe dam was applied in the furrows using siphons in the traditional and technified treatments, where the topographic slope in the longitudinal direction was 0.2% and separation of 0.8 m. In the traditional irrigation treatment, a total of 207.5 mm was applied in two irrigations when the plants showed symptoms of leaf wilt. For technified irrigation, the irrigation sheets were defined from the daily water balance and a total of 165 mm were applied in two irrigations. Irrigation expenditure and time were identified with the Rigrav 3.0 algorithm developed by Rendón et al. (2017).

The software was fed with data on soil characteristics at a depth of 0-0.3 m, initial moisture was determined with the TDR-350 spectrum soil moisture meter, moisture content at saturation was identified in the laboratory, hydraulic conductivity was measured with disc infiltrometer, and wetting front suction from the tabulated values reported by Rendón et al. (2017); Prado-Hernández et al. (2017).

Hydraulic conductivity, saturation point, and wetting front suction were calibrated as indicated by Rendón et al. (2017). In addition, the software was fed with the calibrated parameters of the infiltration model based on evaluations of the irrigation phases that were carried out in the same plot. The evaluation and design procedure were performed based on Rosano-Méndez et al. (2001); Flores-Gallardo et al. (2014).

The soil characteristics for technified irrigation resulted in an initial moisture content of 0.07 cm3 cm-3, saturation content of 0.51 cm3 cm-3, field capacity of 0.26 cm3 cm-3, hydraulic conductivity of 3.3 cm h-1 and wetting front suction of 83 cm. The design irrigation sheet of 10.3 cm to the 65 m furrows with 0.2% longitudinal slope. The unit flow was 4.1 L s-1 m-1 and with the furrow width of 0.8 m, the applied flow was 3.2 L s-1 m-1 with the design irrigation time of 46.9 min.

The flow applied to the furrows was controlled by means of two-inch polyethylene siphons, previously calibrated in the laboratory, in which the necessary load was established to provide the required flow during the irrigation time that resulted from the design.

Genotypes and experimental design

The experimental design was formed by the genotype (G) factor with 10 corn genotypes (G1-G10), five three-way cross hybrids obtained at UNAM: TSIRI PUMA (Tadeo et al., 2016), TLAOLI PUMA (Tadeo-Robledo et al., 2022 a), ATZIRI PUMA (Tadeo-Robledo et al., 2022 b), IXIM PUMA and CUXI PUMA, three generated at CEVAMEX-INIFAP, two three-way cross hybrids: H-49 AE (Espinosa-Calderón et al., 2022) and H-53 AE; a double-cross hybrid: H-50 (Espinosa-Calderón et al., 2003), an experimental three-way cross hybrid 246 x 242 x MIA46, and the Cedillo variety. All are materials for the agroecological region of the High Valleys of Mexico.

Several of these materials contain in their conformation a source of latent germplasm material, generated by the engineer Gilberto Palacios de la Rosa (Espinosa-Calderón et al., 2003; Villalobos-González et al., 2023). The other factor was moisture (M) management with traditional irrigation (M1), technified irrigation (M2), and rainfed conditions (M3). The factorial experiment in randomized complete blocks was established with three replications and the combination of the levels of the factors 10G x 3M resulted in 30 treatments and 90 elementary plots. Complete treatments were randomized in each block into experimental units (EUs) 5 m long and 0.8 m wide.

Management tasks

The corn was sown manually on June 13, 2022, adjusting to a density of 70 000 plants ha-1. The volumetric moisture content was 9.2%, there was rain the day after sowing, so irrigation was not applied, and it presented moisture of 12%, four days after sowing (das), the moisture increased to 24.8% (average of a systematic sample of 16 observations with the TDR 350 spectrum).

Soil fertilization was with the 80-40-00 formula in a single application using granulated urea and diammonium phosphate. The weeds were controlled with two applications at five and 40 das with the mixture of atrazine (2 kg ha-1), S-metolachlor (1 L ha-1), and mesotrione (1.5 L ha-1).

Response variables

Plant height (PH) and ear height (EH) were determined by measuring variables in the field. At harvest, 190 das, all the ears of each experimental plot were collected to obtain their field weight (FW). A sample of five ears was taken at random from each EU to characterize them and perform laboratory determinations.

In the laboratory, the ears were characterized based on their length (EL), measured with a tape measure, their diameter (ED), obtained with a vernier, number of rows (RE) and number of grains per row (GR), counted manually, and grains per ear (GE) with the product of RE x GR. The yield (YIE) was determined by the formula: YIE= (W*DM*%G*CF)/8600. Where: W= weight of the ears harvested in the EU, in kg; DM= percentage of dry matter, it was determined by subtracting the moisture content from the weight of the wet grain; %G= percentage of grain, it was obtained by weighing the grain of the five shelled ears and relating it to the weight of the ears with cob; CF= conversion factor, it is determined with the quotient of the area of one hectare and the size of the EU in m2; 8 600= constant to estimate the yield with moisture of 14%.

Water use (WU) was determined with the formula: WU=YIE/S. Where: YIE= grain yield in kg and S= water sheet that entered each treatment, calculated with the sum of rainfall plus the applied irrigation sheet. The analysis of variance and the verification of its precepts were performed in the SAS 9.0 software (SAS Inc., 2002) to know the effect and interactions of the factors (p< 0.05); the same level of significance was used to conduct the tests of means by simple effects or interactions using Tukey’s method.

Results and discussion

The genotype factor showed a highly significant effect (p< 0.01) on PH, EH, ED, RE, GE, YIE, and WU and a significant effect on GR. The moisture factor only had a highly significant statistical effect on water use (Table 1). The results in this regard are similar to the work by Mendoza-Pérez et al. (2016) in a study on moisture management in corn experiments. The interaction of the factors had a highly significant statistical effect for EH and RE; moreover, the effect was statistically significant for ED and GE.

Table 1

Mean squares and significance of the response of 10 corn genotypes under three moisture management treatments in the High Valleys of Mexico. Spring-summer cycle, 2022.

SV YIE PH EH EL ED RE GR GE WU
Block 3.2 532.8 311.5 0.3 0.1 2.3 2.1 5083 0.08
G 15.2** 1 346.9** 1620.5** 2.2 0.2** 6.5** 16.6* 13196.2** 0.5**
M 2.9 133.3 16.2 1.1 0.1 2.4 10.1 8308.9 2.8**
GxM 3.3 311.6 504.7** 1.5 0.1* 4.4** 9.3 8323.9* 0.1
Mean 8.3 198.8 91.3 15.1 4.6 15.7 31.3 491.7 1.5
CV 18.4 5.5 14.9 8.1 5.1 8.7 8.6 13.6 18.2

* = p≤ 0.05; **= p≤ 0.01; YIE= grain yield; PH= plant height; EH= ear height; EL= ear length; ED= ear diameter; RE= rows per ear; GR= grains per row; GE= grains per ear; WU= water use; G= genotype; M= moisture; GxM= genotype-by-moisture interaction; CV= coefficient of variation.

The average grain yield was 8.28 t ha-1 and the water use was 1.5 kg m-3, it is noted that the yield was outstanding, but that was not case for the use of water since it was lower than that reported by Robaina et al. (2015), of 1.7 kg m-3, and López-Hernández et al. (2019), of 1.8 kg m-3. However, water use was close to 1.6 kg m-3, which is reported as an optimal value by Inzunza-Ibarra et al. (2018).

The overall means of the variables evaluated were lower than those reported by Alonso-Sánchez et al. (2023) for hybrids evaluated in the High Valleys under irrigation tip, where rainfall exceeded the 669.5 mm of the treatment with the highest water availability in this study.

In the results with lower mean values, the effect of rainfed moisture is also implicated because the water deficit limits the expression of the hybrids, as reported by Castellanos et al. (2019); Alonso-Sánchez et al. (2022). The coefficients of variation were homogeneous and are related to the experimental control (Table 1).

Comparison of means between moisture management conditions

Water use was higher under rainfed conditions, with 1.8 kg m-3, as a response to the lower availability of water and acceptable yield; on the other hand, traditional irrigation presented the lowest water use, with 1.2 kg m-3, which led to a lower grain production in relation to the volume of water, which is related to the empirical management of irrigation where water losses occur, as referred to by Rosano-Méndez et al. (2001) and Mendoza-Pérez et al. (2016).

The best use of water in the evaluated hybrids occurred under rainfed conditions because this variable shows a nonlinear differential response for the gradients of moisture availability, so there is maximum use for an optimal amount of water, which mathematically corresponds to the value of the maximum slope of a function that relates the yield and the total amount of water used.

The grain yield in the three treatments did not present a statistical difference and was similar in all three cases to the national average of irrigated corn, which is reported with a value of 8.7 t ha-1 (SIAP, 2024). The lowest yield occurred under traditional irrigation with 7.96 t ha-1 and differed by 0.63 t ha-1 from the highest yield, 8.6 t ha-1, expressed under technified irrigation; the difference was only 0.34 t ha-1 between technified irrigation and rainfed conditions (8.26 t ha-1); these results are similar to those reported by Fernández-Ortiz et al. (2022), where the irrigation results were better than rainfed management.

The grain yield under rainfed conditions was not statistically different from the other treatments; on the other hand, the total water volume was lower, which coincides with what was reported by Montesillo-Cedillo (2016), where the production of rainfed corn presented a lower social and environmental cost in terms of water.

The irrigation results are consistent with what was reported by Rosano-Méndez et al. (2001), where technified irrigation did not show a statistical difference but was higher by up to 0.3 t ha-1 compared to conventional irrigation in addition to representing a water saving of 37%. In this work, the difference in sheet was 42.5 mm, which represented a 6.4% saving of water when using technification. Flores-Gallardo et al. (2014) found a difference between the application of technified gravity irrigation in corn and traditional gravity irrigation; in this case, management variants, such as alternate furrow irrigation, were applied, which improved the indicators of plot efficiency. The relevance of these results for the High Valleys allows us to make informed decisions about the technification of irrigation of one of the main crops in the region.

Comparison of means between genotypes

The means between genotypes showed statistical differences as a single effect in some variables. PH was higher in the Cedillo variety with 2.2 m, whereas the ATZIRI PUMA hybrid had the lowest height with 1.85 m. The highest number of grains per row was shown by the H-50 hybrid (34 grains) (Table 2).

Table 2

Comparison of means of the variables by simple effect of the genotype factor in the spring-summer cycle of 2022.

Genotype PH (cm) GR YIE (t ha-1) WU (kg m-3)
Cedillo variety 224a 30ab 5.81c 1c
H-49 AE 198bc 32ab 8.83ab 1.5ab
H-53 AE 204ac 32ab 8.99ab 1.5ab
H 50 212ab 33a 9.93a 1.7a
(246 x 242) x MIA46 201bc 32ab 8.12ac 1.4ab
TSIRI PUMA 189c 30ab 7.43bc 1.3bc
TLAOLI PUMA 188cd 31ab 8.95ab 1.5ab
ATZIRI PUMA 185c 29b 7.33bc 1.3bc
IXIM PUMA 192bc 32ab 7.44bc 1.3bc
CUXI PUMA 194bc 32ab 9.95a 1.7a
HSD 22 4.19 2.36 0.41

[i] The means with the same letter, by variable, are statistically equal (Tukey, p< 0.05); PH= plant height; GR= grains per row; YIE= grain yield; WU= water use; HSD= honestly significant difference.

Grain yield and water use behaved similarly since they are variables with a direct relationship. The highest averages were shown by the IXIM PUMA and H-50 hybrids, both with 9.9 t ha-1 and 1.7 kg m-3, whereas the Cedillo variety had 5.8 t ha-1 and 1 kg m-3. The highest productivity presented in the study was higher than the optimal value reported by Inzunza-Ibarra et al. (2018) and is related to the productive potential of the IXIM PUMA and H-50 hybrids in the High Valleys, as reported by Espinosa-Calderón et al. (2022).

Some variables, such as the number of grains per row, are positively correlated with yield and therefore with water use. The differences between the hybrids are due to their genetic conformation and the conditions that prevailed throughout the experiment as a genotype-environment expression (Fernández-Ortiz et al., 2022).

Means of interactions

The significant interaction of hybrid by moisture management presented by the highest ear height (1.4 m) with the Cedillo variety under rainfed conditions, an outstanding characteristic of this variety for conditions of low water availability; on the other hand, the ATZIRI PUMA hybrid had the lowest ear height (72 cm) under technified irrigation conditions, which represents an advantage because, under irrigated conditions, if the plants are tall, they are more susceptible to lodging when the soil is moistened, as also reported by Alonso-Sánchez et al. (2022).

The number of rows per ear was higher (18 rows) for the experimental three-way cross hybrid (246 x 242) x MIA46 under traditional irrigation, whereas it was lower for the same hybrid under technified irrigation (12 rows). This response indicates a differential behavior for this hybrid depending on moisture availability. The ear diameter was superior (4.9 cm) for the H-50 under rainfed conditions and the lowest was (4 cm) for the experimental three-way cross hybrid with technified irrigation; this response contradicts the larger diameters under irrigation conditions reported by Castellanos et al. (2019) for corn hybrids from El Bajío.

The interactions of the variables in Table 3 are related to the total amount of water that entered each treatment and their determination when interacting with the genotypes (Alonso-Sánchez et al., 2023). The interactions did not present significance in the yield and water use of the hybrids, which indicated their stability in production when subjected to gradients of moisture availability in the same environment, as also reported by Mendoza-Pérez et al. (2016); however, water management differentials represent an opportunity to reduce the amount of water in the case of hybrids under irrigation, which should be verified with more research related to deficit irrigation using the same genotypes, if possible.

Table 3

Comparison of means of three variables with interaction of the factors: corn hybrids and moisture availability management in the spring-summer cycle of 2022.

Hybrid EH (cm) RE (No.) ED (cm)
CI TI RAI CI TI RAI CI TI RAI
Cedillo 127ab 92bd 141a 14ac 15ac 13bc 4.3ac 4.5ac 4.1bc
H-49 AE 85bd 102ad 82cd 16ac 17ab 16ac 4.5ac 4.8ab 4.7ac
H-53 AE 99ad 95bd 90bd 16ac 17ab 16ac 4.4ac 4.8ac 4.7ac
H 50 111ad 94bd 106ad 17ac 16ac 17ab 4.8ab 4.8ab 4.9a
(246 x 242) x MIA46 83cd 125ac 86bd 18a 12c 15ac 4.7ac 4c 4.6ac
TSIRI PUMA 79d 80d 82cd 17ac 14ac 16ac 4.8ac 4.5ac 4.5ac
TLAOLI PUMA 71d 87bd 80d 15ac 16ac 14ac 4.7ac 5a 4.4ac
ATZIRI PUMA 81d 72d 73d 16ac 16ac 17ac 4.6ac 4.6ac 4.4ac
IXIM PUMA 80d 85bd 87bd 14ac 14ac 16ac 4.4ac 4.8ab 4.6ac
CUXI PUMA 87bd 81cd 90bd 16ac 15ac 16ac 4.8ab 4.7ac 4.6ac
HSD 43.7 4.4 0.7

[i] EH= ear height; RE= rows per ear; ED= ear diameter; RE= rows per ear; HSD= honestly significant difference; CI= conventional irrigation; TI= technified irrigation and RAI= rainfed conditions. The means with the same letter within the columns of each response variable are statistically equal (Tukey, p< 0.05).

The production of hybrids under rainfed conditions represents an opportunity for sustainable food production (Alonso-Sánchez et al., 2022) due to the fact that the use of dams or wells is null. The results of this research could be a reference for other work aimed at contributing to the water and food security of corn production in order to identify genotypes tolerant to water deficit conditions in a scenario of resilience to climate variability.

Conclusions

The hybrids evaluated showed stability in yield since some share parents in their genetic structure, except for the Cedillo variety, which had the lowest yield. The cultivation of rainfed corn continues to be the option with which good productivity is obtained as long as there are genotypes tolerant to adverse water conditions.

Under conditions similar to those of this work, it turns out to be an alternative to reduce water consumption by irrigation and use it for other uses, such as water for human consumption. The hybrids did not show a reduction in yield compared to conventional irrigation in this experiment, considering the edaphic, climatic, and genotype conditions.

Acknowledgements

This work was funded by the research and technological innovation project support program (PAPIIT), for its acronym in Spanish number: IA105122 and PAPIIT IT200122, of the General Directorate of Academic Personnel Affairs (DGPA), for its initialism in Spanish-UNAM.

Bibliography

1 

Alonso-Sánchez, H.; Tadeo-Robledo, M.; Espinosa- Calderón, A.; Zamudio- González, B.; Zaragoza-Esparza, J. y López-López, C.2022. Water and agronomic evaluation of maize hybrids in response to different environments and nitrogen doses. Agrociencia. 56(1):1-12. https://doi.org/10.47163/agrociencia.v56i1.2698.

2 

Alonso-Sánchez, H.; Tadeo-Robledo, M.; Espinosa-Calderón, A.; Zaragoza-Esparza, J.; López-López, C.; Zamudio-González, B.; Monter-Santillán, A.; Turrent-Fernández, A.; Arteaga-Escamilla, I. and Mora-García, K. 2023. El efecto de la densidad de población y la fertilización sobre la productividad del agua y rendimientos de híbridos de maíz en el Valle de México. Terra Latinoamericana. 41:1-15. https://doi.org/10.28940/terra.v41i0.1577.

3 

Castellanos, J. Z.; Etchevers, B. J.; Peña, D. M.; García, H. S.; Ortiz-Monasterio, I.; Arango, G. A.; Macias, C. J. y Venegas, V. C. 2019. Cómo crece y se nutre una planta de maíz. Fertilab. Guanajuato, México. 124 p.

4 

Espinosa-Calderón, A.; Tadeo-Robledo, M.; Lothrop, J.; Azpíroz-Rivero, S.; Tut-Couoh, C. y Salinas-Moreno, Y. 2003. H-50, híbrido de maíz de temporal para los Valles Altos de México (2200 a 2600 msnm). Agricultura Técnica en México. 29(1):89-92.

5 

Espinosa-Calderón, A.; Tadeo-Robledo, M.; Zamudio-González, B.; Turrent-Fernández, A.; Gómez-Montiel, N. y Sierra-Macias, M. 2022. H 49 AE: híbrido de maíz para Valles Altos de México con androesterilidad para producción de semillas. Revista Mexicana de Ciencias Agrícolas. 13(7):1333-1338.

6 

Fernández-Ortiz, C.; González-Prieto, S.; Silva-Oviedo, M. O. and Morel-López, E. 2022. Efecto del riego sobre las características agronómicas de diferentes híbridos de maíz. Revista Científica de la UCSA. 9(2):86-93. 10.18004/ucsa/2409-8752/2022.009.02.086.

7 

Flores-Gallardo, H.; Sifuentes-Ibarra, E.; Flores-Magdaleno, H.; Ojeda-Bustamante, W.; and Ramos-García C. R. 2014. Técnicas de conservación del agua en riego por gravedad a nivel parcelario. Revista Mexicana de Ciencias Agrícolas. 5(2):241-252. 10.29312/remexca.v5i2.963.

8 

Guzmán-Luna, L.; Quevedo-Nolasco, A.; Pascual-Ramírez, F.; Bolaños-González, M. A.; and Guzmán-Luna, J. R. 2023. Variación temporal de los requerimientos de riego en maíz método Rodionov en DR001, Pabellón, Aguascalientes. Revista Mexicana de Ciencias Agrícolas. 14(5):52-65. 10.29312/remexca.v14i5.3084.

9 

Inzunza-Ibarra, M. A.; Villa-Castorena, M. M.; Catalán-Valencia, E. A.; López-López, R.; and Sifuentes-Ibarra, E. 2018. Rendimiento de grano de maíz en déficit hídrico en el suelo en dos etapas de crecimiento. Revista Fitotecnia Mexicana. 41(3):283-290. https://doi.org/10.35196/rfm.2018.3.283-290.

10 

López-Hernández, M.; Arteaga-Ramírez, R.; Ruíz-García, A.; Vázquez-Peña, M. A. y López-Rosano, J. I. 2019. Productividad del agua normalizada para el cultivo de maíz (Zea mays) en Chapingo, México. Agrociencia. 53(6):811-820.

11 

Mendoza-Pérez, C.; Sifuentes-Ibarra, E.; Ojeda-Bustamante, W. and Macías-Cervantes, J. 2016. Response of surface-irrigated corn to regulated deficit irrigation. Ingeniería Agricola y Biosistemas. 8(1):29-40.https://doi.org/10.5154/r.inagbi.2016.03.001.

12 

Montesillo-Cedillo, J. 2016. Rendimiento por hectárea de maíz grano en México: distritos de riego vs temporal. Economía Informa. 398:60-74. 10.1016/j.ecin.2016.04.005.

13 

Prado-Hernández, J. V.; Pascual-Ramírez, F.; Cristóbal-Acevedo, D.; Carrillo-García, M.; Hernández-Saucedo, F. R. and Martínez-Ruíz, A. 2017. Evaluation of green-ampt infiltration equation in some agricultural soils in México, using USDA information and a modified method from brooks and Corey. Interciencia. 42(9):563-569.

14 

Rendón, L.; Saucedo, H. y Fuentes, C. 2017. Diseño del riego por gravedad. In: Fuentes, C. y Rendón, L. (eds). Riego por gravedad. Ed. Universidad Autónoma de Querétaro, México. 325-362 pp.

15 

Robaina, F. G.; Puebla, J. H.; Seijas, T. L.; Lazo, G. C.; Dios-Palomares, R.; Rueda, M. H.; Antón, W. S. y Soza, A. R. 2015. Uso de las funciones agua-rendimiento y la productividad agronómica del agua en la planificación del agua en cultivos de importancia agrícola en Cuba. Revista Iberoamericana de Bioeconomía y Cambio Climático. 1(1):96-114.

16 

Rosano-Méndez, L.; Rendón-Pimentel, L.; Pacheco-Hernández, P.; Etchevers-Barra, J. D.; Chávez-Morales, J. y Vaquera-Huerta, H. 2001. Calibración de un modelo hidrológico aplicado en el riego tecnificado por gravedad. Agrociencia. 35(6):577-588.

17 

SAS Institute Inc. 2002. Statistical Analysis System User’s Guide. SAS Institute, Inc. Cary, NC, USA. 956 p.

18 

SIAP. 2024. Servicio de Información Alimentaria y Pesquera. Anuario estadístico de la producción agrícola. Secretaria de Agricultura y Desarrollo Rural. Ciudad de México. http://www.siap.gob.mx/abril.

19 

Shmulik, P. F. 2023. Irrigation methods. Michael, J.; Goss and Oliver, M. Editor. Encyclopedia of soils in the environment Ed, Academic Press. 608-623 p. 10.1016/B978-0-12-822974-3.00138-5.

20 

Tadeo-Robledo, M.; Espinosa-Calderón, A.; García-Zavala, J. J.; Lobato-Ortiz, R.; Gómez-Montiel, N. O.; Sierra-Macías, M.; Valdivia-Bernal, R.; Zamudio-González, B.; Martínez-Yañez, B.; López-López, C.; Mora-García, K. Y.; Canales-Islas, E. I.; Cárdenas-Marcelo, A. L.; Zaragoza-Esparza, J.; Alcántar-Lugo, H. J. 2016. Tsiri Puma, híbrido de maíz para Valles Altos con esquema de androesterilidad para producción de semillas. Revista Fitotecnia Mexicana. 39(3):331-333.

21 

Tadeo-Robledo, M.; Espinosa-Calderón, A.; Zaragoza-Esparza, J.; López-López, C.; Canales-Islas, E. I.; Zamudio-González, B.; Turrent-Fernández, A.; Virgen-Vargas, J.; Sierra-Macías, M.; Gómez-Montiel, N. O.; Mora-García, K. Y.; Meza, P. A. y Cárdenas-Marcelo, A. L. 2022a. Tlaoli Puma, híbrido de maíz para grano y forraje con androesterilidad y restauración de la fertilidad masculina. Revista Fitotecnia Mexicana. 44(2):265-267.

22 

Tadeo-Robledo, M.; Espinosa-Calderón, A.; Canales-Islas, E.; López-López, C.; Andrés-Meza, P.; Zamudio-González, B. 2022b. Atziri Puma: híbrido de maíz de grano blanco para Valles Altos de México. Revista Mexicana de Ciencias Agrícolas. 13(7):1339-1343. 10.29312/remexca.v13i7.2397.

23 

Villalobos-González, A.; Benítez-Riquelme, I.; Castillo-González, F.; Mendoza-Castillo, M. D. C. and Espinosa-Calderón, A. 2023. Assessment of elongation of the mesocotyl-coleoptile and biomass in parents and crosses of corn seedlings of the high valleys of Mexico. Seeds. 2(4):449-473. 10.3390/seeds2040034.