This dataset includes respiratory gas flux for cattle consuming titrated levels of gross energy at the USDA-ARS Oklahoma and Central Plains Agricultural Research Center, Southern Plains Experimental Range. A data dictionary is also included.

The data sets used were collected with an automated head chamber system and the variables, CO2 and CH4 emissions and O2 consumption, from ruminant feeding and grazing animal experiments. Two hundred and 70 data points were used from 14 experiments involving diverse forage-based diets (Gunter and Bradford, 2015, Gunter and Bradford, 2017, Beck et al., 2018, Burrus et al., 2018, Beck et al., 2019, Thompson et al., 2019, Pickett et al., 2020, Friend, 2023, Long et al., 2023, Proctor et al., 2023, Womack, 2023).

The data sets used were collected with an automated head chamber system and the variables, CO2 and CH4 emissions and O2 consumption, from ruminant feeding and grazing animal experiments. Two hundred and 70 data points were used from 14 experiments involving diverse forage-based diets (Gunter and Bradford, 2015, Gunter and Bradford, 2017, Beck et al., 2018, Burrus et al., 2018, Beck et al., 2019, Thompson et al., 2019, Pickett et al., 2020, Friend, 2023, Long et al., 2023, Proctor et al., 2023, Womack, 2023).

This is the dataset for evaluation of hexaploid spring wheat panel under non-heat stress (23 °C) and heat stress (36 °C) conditions at seedling stage. Data was collected on various seedling traits including coleoptile length (CL; cm), shoot length (SL; cm), root length (RL; cm), root number (RN), shoot fresh weight (SFW; mg), and root fresh weight (RFW; mg). Raw data was subjected to mixed linear analysis to get best linear unbiased estimates (BLUEs), which were used for downstream statistical analysis.

This is the dataset for evaluation of hexaploid spring wheat panel under non-heat stress (23 °C) and heat stress (36 °C) conditions at seedling stage. Data was collected on various seedling traits including coleoptile length (CL; cm), shoot length (SL; cm), root length (RL; cm), root number (RN), shoot fresh weight (SFW; mg), and root fresh weight (RFW; mg). Raw data was subjected to mixed linear analysis to get best linear unbiased estimates (BLUEs), which were used for downstream statistical analysis.

Dataset describes the performance of various seedling traits (such as shoot height, root length, tiller number, shoot weight, root weight, root length-by-shoot height, and root weight-by-shoot weight) evaluated using irrigation water with electrical conductivity (ECiw) of 1.46 dSm-1 (for non-salt stress) and 14 dSm-1 (for salt stress).

Dataset describes the performance of various seedling traits (such as shoot height, root length, tiller number, shoot weight, root weight, root length-by-shoot height, and root weight-by-shoot weight) evaluated using irrigation water with electrical conductivity (ECiw) of 1.46 dSm-1 (for non-salt stress) and 14 dSm-1 (for salt stress).

Dataset describes the performance of various seedling traits (such as shoot height, root length, tiller number, shoot weight, root weight, root length-by-shoot height, and root weight-by-shoot weight) evaluated using irrigation water with electrical conductivity (ECiw) of 1.46 dSm-1 (for non-salt stress) and 14 dSm-1 (for salt stress).

Population Ecology: Population and species neighbor identity impact trait-trait relationships and plant performance 2025Trait variation among and within plant species can affect the intensity and direction of plant-plant interactions (e.g., competition, facilitation) and influence whether species can coexist. Trait differences can result from plastic responses to plant-plant interactions and can influence trait hierarchies creating inferior and superior competitors. Trait differences between interacting species can intensify competition, strengthen competitive hierarchy or result in niche differences that help reduce competition. Consequently, it is unclear how trait values or plastic differences between individuals of the same species influence intraspecific competition, and how this impacts species coexistence, which relies upon more intense intra- rather than interspecific competition. To understand how mixtures of multiple populations (intraspecific mixtures) influence plant performance and trait outcomes in comparison to single population monocultures and interspecific mixtures, we assessed trait variation among multiple populations following plant interactions in a greenhouse common environment. We used three populations each of two forb species native to the western US in all combinations and found that four of six population pairings led to more positive interaction outcomes in intraspecific mixtures compared to monocultures. Neighbor trait differences in shoot height and root length had the largest impact on plant growth following interactions, while increasing neighbor trait differences in plant height, leaf count, and root length resulted in positive growth outcomes for both interspecific and intraspecific mixtures, and root mass fraction showed the opposite pattern. These findings show nuance in the outcomes of intraspecific interactions and that they depend on population identity and varying importance of evaluated traits.

Population Ecology: Population and species neighbor identity impact trait-trait relationships and plant performance 2025Trait variation among and within plant species can affect the intensity and direction of plant-plant interactions (e.g., competition, facilitation) and influence whether species can coexist. Trait differences can result from plastic responses to plant-plant interactions and can influence trait hierarchies creating inferior and superior competitors. Trait differences between interacting species can intensify competition, strengthen competitive hierarchy or result in niche differences that help reduce competition. Consequently, it is unclear how trait values or plastic differences between individuals of the same species influence intraspecific competition, and how this impacts species coexistence, which relies upon more intense intra- rather than interspecific competition. To understand how mixtures of multiple populations (intraspecific mixtures) influence plant performance and trait outcomes in comparison to single population monocultures and interspecific mixtures, we assessed trait variation among multiple populations following plant interactions in a greenhouse common environment. We used three populations each of two forb species native to the western US in all combinations and found that four of six population pairings led to more positive interaction outcomes in intraspecific mixtures compared to monocultures. Neighbor trait differences in shoot height and root length had the largest impact on plant growth following interactions, while increasing neighbor trait differences in plant height, leaf count, and root length resulted in positive growth outcomes for both interspecific and intraspecific mixtures, and root mass fraction showed the opposite pattern. These findings show nuance in the outcomes of intraspecific interactions and that they depend on population identity and varying importance of evaluated traits.