Gene Action Governing the Inheritance of Stomatal Conductance in Four Wheat Crosses Under High Temperature Stress Condition

The knowledge pertaining to gene action and interactions involved in the inheritance of a character in different generations is crucial for determining the breeding strategies in crop improvement program. In the present study, the gene action of stomatal conductance was determined in four wheat populations under high elevated temperatures coupled with late sowing at experimental farm, ICAR-Indian Agricultural Research Institute, New Delhi, India. Steady-state SC-1 leaf porometer was used to record stomatal conductance on adaxial and abaxial leaf surface at late boot (Z 49–50), early milk (Z 73), and late milk (Z 77) growth stages. Evidence for nuclear genetic control of stomatal conductance was strong, with large and repeatable genetic difference observed for parents and progeny across all the four crosses. Mean stomatal conductance for genotypes, GW 322 and GW 366, was consistently low at late boot, early milk, and late milk under timely sown, late sown, and very late sown condition, whereas the converse was true for the high-conducting parents, KAUZ/AA//KAUZ and RAC 875. Additive and additive x additive epistatic effects were large and reasonably consistent at three stages and in all crosses. Detection of epistasis and evidence of transgressive segregation suggested that variation for stomatal conductance was under oligo or polygenic control. Thus, it is conceivable that independent alleles at two or more loci could be pyramided into a single family for increased or decreased stomatal conductance. Additive-based gene action also facilitates with simple selection at early generation to improve stomatal conductance in expected direction. This is the first report on estimates of gene action for stomatal conductance of flag leaf under heat stress condition during reproductive and grain filling stage.


INTRODUCTION
Wheat is the most widely grown cereal in temperate environment; in tropical countries, it is grown as winter crop, and high temperature stress is one of the most disadvantageous factors for the production and productivity of wheat in tropical and subtropical environments (Reynolds et al., 2001;Ramadas et al., 2020). Plant's growth and development involve series Frontiers in Plant Science | www.frontiersin.org 2 November 2021 | Volume 12 | Article 658443 of metabolic activities, which are highly sensitive to temperature. Yield penalties are associated with both chronically high temperatures (mean temperature of the growth cycle being 18-25°C, and maximum day temperatures up to 32°C during grain filling) as well as heat shocks, where temperatures greater than 32°C occur during mid-or late reproductive wheat stages, including grain filling (Wardlaw and Moncur, 1995). According to Nagarajan (2005), heat stress, especially at the terminal stage, is seen as a major reason why India has fallen well short of anticipated production. A substantial wheat area is heat stressed due to delayed planting caused mostly by long-duration paddy varieties in the rice-wheat cropping areas (Joshi et al., 2007). The major mechanism adopted by the plants to keep themselves cool is by keeping the stomata open. This anatomical adaptation permits gas exchange (water loss, carbon dioxide uptake, oxygen release, or uptake) between atmosphere and interior part of the leaf. This function of gas exchange is called stomatal conductance (Taiz and Zeiger, 2010;Francesconi and Balestra, 2020). When ambient temperature is more than optimum plant temperature, stomatal conductance is enhanced which promotes evaporative cooling of leaves to thereby reduce heat stress (Radin et al., 1994). The differences in the vapor pressure deficit between canopy and atmosphere as well as chemical signals synthesized in dehydrating roots mediate stomatal aperture and therefore water flux to the atmosphere. Consequently, a plant is able to tolerate heat stress to some extent by physical changes (guard cell) within the plant body and frequently by creating signals for changing metabolism (Hasanuzzaman et al., 2013;Siddiqui et al., 2015Siddiqui et al., , 2018. Positive relationships between grain yield and stomatal conductance (SC) were observed under irrigated environments for cotton, wheat, and other crops (Radin et al., 1994;Reynolds et al., 1994;Morison and Lawlor, 1999). Stomatal conductance has been proposed as a selection tool, when measured on multiple plants in a canopy, and is equally effective as carbon isotope discrimination or canopy temperature (Condon et al., 2004). There is a strong relationship between stomatal conductance and canopy temperature, since stomatal conductance has a direct effect on transpirational cooling (Amani et al., 1996;Fischer et al., 1998). Hence, both traits are affected by many of the same environmental and physiological factors. According to Reynolds et al. (2012), under well-watered conditions, stomatal regulation maintains optimal levels of internal CO 2 concentration to feed the demand for CO 2 fixation from the Calvin cycle. However, under soil water deficit, there will be a trade-off with the need to maintain a functional water status of leaves (Cornic, 2000;Lawlor and Cornic, 2002). Besides, decreased transpiration rate, CO 2 assimilation rate (A), stomatal conductance (gs), and net photosynthesis (Pn) in tomato were reported in combined stress of drought and heat (Raja et al., 2020). Therefore, under such conditions differences in the vapor pressure deficit between canopy and atmosphere as well as chemical signals synthesized in dehydrating roots mediate stomatal aperture and therefore water flux to the atmosphere. The closure of stomata may increase leaf temperature depending mainly on the radiation load on the canopy but will result in a better water economy or increased transpiration efficiency (Condon et al., 2004). High stomatal conductance permits leaf cooling through evapotranspiration; this along with higher leaf chlorophyll content and stay green character is associated with heat tolerance (Reynolds et al., 1994). However, such differences cannot be detected in high relative humidity environments because the effect of evaporative cooling of leaves is negligible. Nonetheless, leaves maintain their stomata open to permit the uptake of CO 2 , and differences in the rate of CO 2 fixation may lead to differences in leaf conductance that can be measured using a porometer . Genotypic variations have been reported for stomatal conductance in wheat (Pinter et al., 1990;Fischer et al., 1998;Rebetzke et al., 2003;Condon et al., 2004;Ramya et al., 2016). Genetic variation is repeatable, indicating SC may be targeted for improving adaptation to specific environments (Rebetzke et al., 2003;Ramya et al., 2016). The heritability of stomatal conductance is reasonably high, with reported values typically in the range of 0.5-0.8 (Rebetzke et al., 2003). In a way, we can select individual plants of segregating generations for cooler canopies in later generation. The handheld porometer provides rapid measurement of leaf stomatal conductance in irrigated trials.
High stomatal conductance appeared to be controlled by a single dominant gene in durum wheat (T. turgidum L. var. durum) cross (Clarke, 1997). According to single report available till date, gene action was complex with both additive and non-additive genetic effects for expression of leaf conductance (Rebetzke et al., 2003) in three crosses of T. aestivum. According to Cossani and Reynolds (2012), studies on genetic basis of heat adaptive traits are poorly studied. The understanding of the genetic action of physiological trait is important to generate basic knowledge to sustain and improve wheat productivity under variable climatic conditions. The increased genetic determination of the variation in stomatal conductance with increasing selection pressure during the three growth stages indicated stomatal conductance as a indicator of heat stress under some genetic control. This paves a way for studying the genetic control of the stomatal conductance in the contrasting heat tolerant and susceptible cultivars. This knowledge would be of importance to clarify the nature of these traits for stress tolerance, by facilitating the dissection of quantitative traits into simpler components.
Direct genetic modification of stomatal conductance shows it as potential for indirect yield improvement under stress. Till date there is only one report on estimates of gene action for stomatal conductance, studied at penultimate leaves under normal condition (Rebetzke et al., 2003). Indeed, there are no reports on estimates of gene action for stomatal conductance of flag leaf under heat stress condition during reproductive and grain filling stage. Therefore, present investigation was undertaken to study the gene action of stomatal conductance at three growth stages under heat stress condition.
Frontiers in Plant Science | www.frontiersin.org

Population Development
Four genotypes, namely KAUZ/AA//KAUZ, RAC 875, GW 322, and GW 366, were selected as parents. Parents (P 1 and P 2 ) for each cross were chosen based on their contrasting stomatal conductance. Crosses were made during 2012-2013 at ICAR-Indian Agricultural Research Institute (ICAR-IARI), New Delhi, between GW 322 X KAUZ/AA//KAUZ, GW 366 X KAUZ/ AA//KAUZ, GW 322 X RAC 875, and GW 366 X RAC 875. During summer 2013, F 1 s of four different crosses along with their parents were grown at summer nursery facility at Regional Station, Dalang Maidan, Directorate of Wheat Research, Lahaul -Spiti, Himachal Pradesh, India. F 1 s were self-pollinated to produce F 2 seed. The F 1 plants were also back-crossed to P 1 and P 2 to develop back-crossed populations BC 1 P 1 and BC 1 P 2 , respectively. Resulting generations P 1 , P 2 , F 1 , F 2 , BC 1 P 1 , and BC 1 P 2 from four different crosses were evaluated separately considering each cross as a single experiment.

Sowing and Heat Treatment
All the experiments were conducted during Rabi 2012-2013 and 2013-2014 at experimental farm, ICAR-Indian Agricultural Research Institute, New Delhi, India. The latitude of the research farm is 28° 38'23"N, longitude 77° 09'27'E and altitude is 228.61 m above mean sea level. The meteorological data on atmospheric temperature and relative humidity for the crop season from November 2013 to April 2014 were recorded at automatic weather station. The experiment was laid out in two replicated blocks with six generations. Each cross was sown as a separate experiment under three different sowing dates, viz. 15 November (timely sowing; TS), 15 December (late sowing; LS), and 6 January (very late sowing; VLS) during 2013. In all the sowing dates, each block consisted eight rows of 3 m in which 20 plants per row were maintained with the spacing of 15 cm apart between plants. Each block contained 20 plants of each parent, 20 F 1 , 60 F 2 , 20 BC 1 P 1 , and 20 BC 1 P 2 . Standard cultivation practices prescribed for wheat under irrigated conditions were precisely followed. Irrigation was scheduled for 25-30 days of interval for normal date of sowing, while under stress condition, the 15-20 days intervals were followed as per the recommended package of practices. All the necessary plant protection measures for pest and diseases such as rust were undertaken.

Measuring Stomatal Conductance
Stomatal conductance (SC) was measured using steady-state SC-1 leaf porometer (Decagon Devices, Inc., USA) version 9, 2005. Three growth stages, viz. late boot (Z 49-50), early milk (Z 73), and late milk (Z 77) stages, were considered for recording stomatal conductance on flag leaf. Measurements during heading and anthesis were avoided to overcome the confounding effects of phenology. The sensor head was calibrated in the experimental plot before taking the measurement as per the company's protocol. Measurements were made by placing sensor head on upper (adaxial) surface and lower surface (abaxial) at the middle portion of the flag leaf of main tiller. Total SC of leaf was obtained by adding SC recordings of abaxial and adaxial surfaces. All the measurements were made between 09.30 and 14.00 h in clear sunny days.

Statistical Analysis
Each cross and sowing dates were considered as different experiment. Each cross was analyzed separately as a mixed linear model using restricted maximum likelihood iteration procedure (REML) with help of SAS, PROC MIXED programme (SAS Institute Inc., 2009) with sowing date and generations deemed as fixed, and blocks as random effects. Accordingly, the means were estimated for each generation of P 1 , P 2 , F 1 , F 2 , BC 1 P 1 , and BC 1 P 2 for each cross and a priori comparisons between selected generation means were tested using non-orthogonal contrast.
Generation mean analysis was used to estimate gene effects for stomatal conductance measured on each growth stage of three different sowing conditions for each cross. Weighted least-squares regression analyses were used to solve for the midparent (m), additive [a], dominance [d], additive × additive [aa], additive × dominance [ad], and dominance × dominance [dd] genetic effects following the models and assumptions described in Mather and Jinks (1971). A simple additivedominance genetic model containing only "m, " "a, " and "d" effects was first tested using the joint scaling test described in Rowe and Alexander (1980). Adequacy of the genetic model was assessed using a Chi-square goodness-of-fit statistic determined from deviations from this model. It is statistically significant at p = 0.05, and a full genetic model including all digenic epistatic effects was then tested. Significance of each individual genetic component was tested using Student's t test. Genetic components with t test < 0.05 were considered different from zero and significant to the model. Observations on individual lines were used to estimate the phenotypic, additive, and non-additive genetic, and environmental/sampling variance components for use in calculating broad-sense (H) and narrowsense (h 2 ) heritability's and their standard errors (Ketata et al., 1976). Heritability was classified as suggested by Robinson et al. (1949) into low (0-30%), moderate (30.1-60%), and high (>60%).

Results From Analysis of Variances
There was significant phenotypic variation for stomatal conductance measured in the populations derived from crosses between parents of contrasting stomatal conductance values grown in three different sowing dates. The analyses of variance performed for each cross over sowing date are indicated in Table 1. The magnitude of the main effects and interactions varied between the four crosses. Genotype by sowing date  interactions was significant for all the three crosses at all the three growth stages. Mean values for stomatal conductance of parents, F 1 , BC 1 P 1 , BC 1 P 2 , and F 2 derived groups for each sowing date and for each growth stage are presented in Tables 2 and 3. The contrasts between mean values of six generations were tested by determining Fischer's least significant different (LSD) at 5% level of probability for significance.
Cross 1-GW322 X (KAUZ/AA//KAUZ) Genotype, GW 322, was low-conducting parent when compared to KAUZ/AA//KAUZ ( Table 2). There was significant contrast between parent 1 (P 1 ) and parent 2 (P 2 ) at late boot, early milk, and late milk stages of measurement under TS, LS, and VLS. The means of F 1 and F 2 generations did not deviate significantly (p < 0.05). The F 1 and F 2 generation means deviated significantly (p < 0.05) from the mid-parent [MP; where MP = 0.5 *(P1 + P2)] mean at all the stages and sowing conditions except at early milk under TS. The mean values for BC 1 P 1 and BC 1 P 2 deviate significantly (p < 0.05) at three stages with the back cross means approaching their respective recurrent parent under TS, LS, and VLS. The deviation of means of BC 1 P 1 and recurrent parent (P 1 ) was not statistically significant (p > 0.05) at late boot, early milk, and late milk stage under TS, the deviations were significant (p < 0.05) under late and very late sown conditions, and means of BC 1 P 1 were greater than recurrent parent. However, there was significant deviations (p < 0.05) between BC 1 P 2 and recurrent parent at all the stages and sowing dates. The means of BC 1 P 2 were also significantly (p < 0.05) lower than the means of recurrent parent at all stages and conditions except at late milk under TS and late boot under LS.

Cross 2-GW366 X (KAUZ/AA//KAUZ)
Genotype, GW 366, was low-conducting parent when compared to KAUZ/AA//KAUZ ( Table 2). There was significant contrast between parent 1 (P 1 ) and parent 2 (P 2 ) at late boot, early milk, and late milk stages of measurement under TS, LS, and VLS. The means of F 1 and F 2 generations did not deviate significantly (p < 0.05). The F 1 and F 2 generation means deviated significantly (p < 0.05) from the mid-parent [MP; where MP = 0.5 *(P1 + P2)] mean at all the stages and sowing conditions except at late boot and late milk (TS) and late milk (LS). The mean values for BC 1 P 1 and BC 1 P 2 deviate significantly (p < 0.05) at three stages with the back cross means approaching their respective recurrent parent under TS, LS, and VLS (except at late milk-LS). The deviation of F 1 and F 2 generation means from mid-parent means was non-significant (p < 0.05) at late boot and late milk stages under TS and at late milk under LS, while deviations were significant (p < 0.05) at all the stages in VLS. The deviations of BC 1 P 1 means and recurrent parent means were non-significant at late and late milk under TS, while deviations were statistically significant at rest of the conditions. The means of BC 1 P 1 were greater than recurrent parent (except at late boot under TS). However, means of BC 1 P 2 deviated significantly (p < 0.05) from recurrent parent, while the means of BC 1 P 2 were lesser than recurrent parent.

Cross 3-GW322 X RAC 875
Genotype, GW 322, was low-conducting parent when compared to RAC 875 (Table 3). There was significant contrast between parent 1 (P 1 ) and parent 2 (P 2 ) at late boot, early milk, and late milk stages of measurement under TS, LS, and VLS. The wsignificant (p < 0.05). The F 1 and F 2 generation means deviated    significantly (p < 0.05) from the mid-parent [MP; where MP = 0.5 *(P1 + P2)] mean at all the stages and sowing conditions (except for F 2 at late milk-TS). The deviations of means of BC 1 P 1 and recurrent parent were non-significant (p > 0.05) under timely sowing but statistically significant (p < 0.05) at three growth stages under LS and V LS. The means of backcross were higher than the recurrent parent at all the growth stages under LS and VLS but not at late boot and late milk under TS. The means of BC 1 P 2 lower than mean of recurrent parent and the deviations were significant at all the stages under TS, LS, and VLS except at early milk under LS condition.

Cross 4-GW 366 X RAC 875
Genotype, GW 366, was low-conducting parent when compared to RAC 875 ( Table 3). There was significant contrast between parent 1 (P 1 ) and parent 2 (P 2 ) at late boot, early milk, and late milk stages of measurement under TS, LS, and VLS. The deviations for means of F 1 and F 2 generations were not statistically significant (p < 0.05). The F 1 and F 2 generation means deviated significantly (p < 0.05) from the mid-parent [MP; where MP = 0.5 *(P1 + P2)] mean at all the stages and sowing conditions. The deviations of means of BC1P1 and recurrent parent were statistically significant (p < 0.05) at three growth stages under TS, LS, and V LS but non-significant (p > 0.05), only at late milk under VLS. Indeed, the means of backcross were higher than the recurrent parent except at late milk under TS and VLS. The deviations of means of BC 1 P 2 and recurrent parent were non-significant (p > 0.05) for late milk-TS, LS, and significant (p < 0.05) for rest of the conditions. The means of BC1P2 were lower than means of recurrent parent. Anderson-Darling test statistic A 2 for all the stages and sowing dates was non-significant (p > 0.005), indicating goodness of fit for normal distribution of data for F 2 and BC 1 P 1 . The scaling tests A, B, C, and D deviated significantly from zero since "t" value was significant (p < 0.01) at three stages under TS, LS, and VLS for all the four crosses studied. In joint scaling test, the Chi-square value was significant (p < 0.01) for all the crosses and conditions. The lack of fit indicated that simple additive-dominance model was inappropriate and that epistatic gene effects were important in controlling expression of stomatal conductance in progeny of all four crosses under TS, LS, and VLS.

Goodness of Fit of Genetic Models
The goodness of fit of the seven genetic models for stomatal conductance for each cross at late boot, early milk, and late milk under TS, LS, and VLS sown dates. The selected models represent all possible combinations having the general mean [m], additive [a], dominance [d], and maximum of two interaction components to retain at least one degree of freedom. The goodness-of-fit Chi-square value and probabilities are shown in Tables 4,5. The Chi-square value tested the null hypothesis that the data fit the model, and thus, Chi-square values with p ≥ 0.05 denoted goodness of fit. Test for goodness of fit indicated adequacy of more complex models encompassing digenic epistatic effects.      and non-significant at late boot and late milk. Dominance effect was positive and significant (p < 0.01) at late boot, but negative and significant at early milk and non-significant at late milk. However, additive and dominance epistasis was positive and significant at all the three growth stages.

Cross 3-GW 322 X RAC 875
Test for goodness of fit indicated adequacy of more complex models encompassing digenic epistatic effects under TS (p = 0.11 to 0.85), LS (p = 0.42 to 0.47), and VLS condition (p = 0.08 to 0.79;

Cross 4-GW 366 X RAC 875
Test for goodness of fit indicated adequacy of more complex models encompassing digenic epistatic effects under TS (p = 0.18 to 0.73), LS (p = 0.14 to 0.28), and VLS (p = 0.21 to 0.96;

Heritability Components and Narrow Sense Heritability
Variance components such as additive variance (D), dominance variance (H), and environmental variance components and estimated narrow sense heritability for stomatal conductance for four crosses at three growth stages at TS, LS, and VLS are given in Table 8. The heritability ranged from 0.87 to 0.14 under late sown and 0.85 to 0.06 under very late sown situation over the three growth stages. In crosses 1 and 2 where KAUZ/AA//KAUZ was the common parent, environmental variance was high at late boot early milk under TS and at late boot under VLS, so estimating narrow sense heritability was inappropriate. Similar situation existed for cross 3 at early milk-TS, LS, and cross 4 at late milk-TS.

Effect of Sowing Date on Stomatal Conductance
Atmospheric temperature raised the leaf temperature and stomatal response to elevated temperature at late boot; early milk and late milk stage in four crosses in field conditions were successfully recorded. Staggered sowing done on 15 November (timely sowing, TS), 15 December (late sowing, LS), and 6 January (very late sowing, VLS) was helpful in exposing the plants to different leaf temperatures (Figures 2-5). There were significant differences in temperature at the time of measurement between TS, LS, and VLS and also between the growth stages in each sowing dates. The results were in agreement with the wellestablished fact that the dependence of leaf temperature on conductance is also via transpiration rate (Jones, 1976;Cowan and Farquhar, 1977;Peisker, 1977).

Gene Action in Four Crosses
Large phenotypic variation was observed for stomatal conductance at all the three growth stages in three sowing dates. Stomatal conductance of the four parents was measured during three crop seasons during 2010, 2011, and 2012 at the experimental site before taking up crossing programme. Genotypes, KAUZ/ AA//KAUZ and RAC 875, conducted high during late sown seasons than genotypes GW 322 and GW 366. Differences among individual lines were attributable to various genotypic factors and differential responsiveness of genotypes to variable day temperature. Evidence for nuclear genetic control of stomatal conductance was strong, with large and repeatable genetic differences observed for parents and progeny across all four crosses. Mean stomatal conductance for genotypes, GW 322 and GW 366, was consistently low at late boot, early milk, and late milk under TS, LS, and VLS condition, whereas the converse was true for the high-conducting parents, KAUZ/ AA//KAUZ and RAC 875. Nevertheless, there was variation across the stages and sowing dates, but the above-said contrast remains significant. Backcrossing increased the frequency of alleles from the recurrent parent to change the direction of stomatal conductance toward that of the recurrent parent. Stress signals from the roots and consequent production of ethylene resulted in low stomatal conductance in cotton (Sarwar et al., 2018(Sarwar et al., , 2019 (Lande and Thompson, 1990). It has been proposed that delaying selection until lines are homozygous should reduce the need for large population sizes (Rebetzke et al., 2006). Both additive and non-additive gene actions were important in controlling expression of stomatal conductance in the four crosses under TS, LS, and VLS. Saint et al. (2010) reported additive x additive genetic effect as single effective component for CT in five crosses when evaluated under rainfed, drought, and heat stress environment. However, dominance and dominance x dominance gene action was also found, though the significance and direction were specific for each environment and genotypic cross. The negative sign on the additive gene effect indicated that additive alleles for lower leaf conductance were largely transmitted for single and interacting loci from low-conducting parents GW 322 and GW 366. There was some evidence for positive [ad] genetic effect in all the four crosses under very late sowing condition which exposed the populations to elevated temperature. Additive and additive × additive epistatic effects were large and reasonably consistent at three stages and in all crosses (Tables 6 and 7). Evidence for simple additive gene action suggests that replacement and fixation of desirable alleles within a locus could be readily achieved in selection of lines with high or low leaf conductance (Hallauer and Miranda, 1988). However, in the case of epistasis, substitution for desired alleles relies on average effects of specific alleles at other interacting loci. Detection of epistasis and evidence of transgressive segregation suggested that variation for leaf conductance was under oligo or polygenic control. Thus, it is conceivable that independent alleles at two or more loci could be pyramided into a single family for increased or decreased leaf stomatal conductance. Continuous distributions have also been reported for stomatal conductance among segregating tetraploid wheat (T. dicoccoides Korn; Carver et al., 1989) and pima cotton progeny (Percy et al., 1996). Stomatal conductance was under additive genetic control in both species. However, there was also strong evidence for epistatic control of stomatal conductance in pima cotton. QTL mapping populations in maize (Sanguineti et al., 1999) and sunflower (Hervé et al., 2001) have identified leaf conductance to be under genetic control at multiple loci. By contrast, Clarke (1997) reported segregation at a single locus for leaf conductance in durum wheat (Triticum turgidum L. var. durum) cross. There are no reports of maternal gene action for leaf conductance in wheat, and maternal effects influencing photosynthetic capacity may affect CO 2 movement into the leaf to affect leaf conductance. Rebetzke et al. (2003) reported small and negligible maternal genetic effects.
The complexity in leaf conductance has been suggested to be associated with the fact that different cultivars would have different mechanisms to adapt to particular environmental conditions (Liu et al., 2005). Interactions among genes, stress adaptive traits, and environment would contribute to reduce this additive component. Heritabilities were small and not consistent with the few estimates (Table 8). Clarke (1997) reported a realized heritability estimate of 40% for leaf conductance measured on replicated progeny from a cross between low and high conductance durum wheat. Heritabilities were typically small for leaf conductance when measured on families contained in all replicates. Smaller genetic variance among F 2 and backcross families reduced heritability estimates (Rebetzke et al., 2003). The absence of a significant [a] effect could then be the result of a complex gene pathway for CT, involving several genes of small effect with different expressions under diverse environments (Mathews et al., 2008). Narrowsense heritability for bread wheat grown under warm, irrigated conditions was 30% after correction for inbreeding of the parental and progeny generations (Gutierrez-Rodriguez et al., 2000). Environmental effects on leaf conductance were large. Both growth stages and sowing dates influenced leaf conductance in the four crosses studied. Stomatal aperture is sensitive to a range of environmental factors including temperature, vapor pressure deficit, irradiance, soil-water status, etc. (Farquhar and Sharkey, 1982). Diurnal variation therefore has the potential to confound genotypic differences in leaf conductance. Changes in mean leaf conductance of the different generations throughout each growth stage indicated differential responsiveness and were repeatable in all four crosses. This responsiveness was repeatable in time of day comparisons between low-conducting GW 322 and GW 366 and high-conductive KAUZ/AA//KAUZ and RAC 875. This responsiveness was transmitted to progeny with backcross lines tending toward the recurrent parent as sampling continued later into each stage. Stomatal closure in the afternoon has been observed for older wheat (Fischer et al., 1998) and pima cotton  varieties grown under irrigated conditions. Similarly, phenotypic correlations for leaf conductance and lint yield in F 2 -derived pima cotton families were significant only when conductance was measured in the afternoon (Radin et al., 1994).

Implications for Breeding Wheat With Altered Leaf Stomatal Conductance
Many factors can influence a single leaf to affect its stomatal conductance phenotype. Partitioning of this phenotype into its casual genetic components can allow the development of a breeding strategy to enable selection for genes that control leaf stomatal conductance. Maternal genetic effects influencing stomatal conductance were small and not repeatable across all crosses. Thus, selection of the female parent in crossing may not be important. Additive gene effects were moderate in size and were repeatable across sampling stages. Additive-based epistatic effects were also important, indicating the need to sample larger populations in order to recover desired non-allelic combinations. Additivebased gene action also facilitates with simple selection at early generation to improve stomatal conductance in expected direction. The presence of large dominance genetic effects indicates that selection for leaf conductance should be delayed until after some inbreeding when the frequency of heterozygous loci within families has decreased (Hallauer, 1992). The knowledge of additive gene action for stomatal conductance can be used to identify the QTLs/genes governing leaf stomatal conductance.

DATA AVAILABILITY STATEMENT
The original contributions presented in the study are included in the article/supplementary material, and further inquiries can be directed to the corresponding authors.

AUTHOR CONTRIBUTIONS
RK, GS, and KP designed the experiments, and RK performed the statistical analysis. RK, AB, and HK performed the field experiments and collected phenotypic data. NJ, PS, and AA co-wrote the manuscript with RK. GS, NJ, and KP critically revised the manuscript. GS and KP coordinated and supervised the project. All authors contributed to the article and approved the submitted version.