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“temporal yield variability”

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2020

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Observationobservedoriginal resultmeasured

Claim · model-written summary

Repeatability was 0.89.

Taxon: Coffea canephoraCoffea canephorat0
Outcome: repeatabilitye0
Value: 0.89e0

Verbatim

e0
“repeatability was 0.89”
✓ located verbatim in the source · abstract, characters 690–712

t0
“Coffea canephora”
✓ located verbatim in the source · title, characters 110–126

Title

Modeling temporal genetic variability using mixed models improves yield stability and selection efficiency in Coffea canephora

Alex Campanharo; Deurimar Herênio Gonçalves Júnior; Máskio Daros; et al. Frontiers in Plant Science 2026. doi:10.3389/fpls.2026.1840043

Other claims from this paper (10)

Method / resource M7 had the lowest AIC and BIC of evaluated models.
Observation Plot-level heritability ranged from 0.64 to 0.68.
Observation Genotype-mean heritability ranged from 0.84 to 0.86.
Observation Selective accuracy ranged from 0.92 to 0.94.
Association Genetic correlations indicated atypical 2023 behavior attributed to heat stress during grain filling.
Observation Relative selection efficiency rose cumulatively by 4.4% after four years.
Observation Bicudo combined a high predicted genotypic value and elevated persistence index.
Observation A1 combined a high predicted genotypic value and elevated persistence index.
Observation AD1 combined a high predicted genotypic value and elevated persistence index.
Method / resource Flexible mixed models were interpreted as improving reliability of genetic evaluation.

Observationobservedoriginal resultmeasured

Claim · model-written summary

Selective accuracy ranged from 0.92 to 0.94.

Taxon: Coffea canephoraCoffea canephorat0
Outcome: selective accuracye0
Value: 0.92 to 0.94e0

Verbatim

e0
“selective accuracy ranged from 0.92 to 0.94.”
✓ located verbatim in the source · abstract, characters 718–762

t0
“Coffea canephora”
✓ located verbatim in the source · title, characters 110–126

Title

Modeling temporal genetic variability using mixed models improves yield stability and selection efficiency in Coffea canephora

Alex Campanharo; Deurimar Herênio Gonçalves Júnior; Máskio Daros; et al. Frontiers in Plant Science 2026. doi:10.3389/fpls.2026.1840043

Other claims from this paper (10)

Method / resource M7 had the lowest AIC and BIC of evaluated models.
Observation Plot-level heritability ranged from 0.64 to 0.68.
Observation Genotype-mean heritability ranged from 0.84 to 0.86.
Observation Repeatability was 0.89.
Association Genetic correlations indicated atypical 2023 behavior attributed to heat stress during grain filling.
Observation Relative selection efficiency rose cumulatively by 4.4% after four years.
Observation Bicudo combined a high predicted genotypic value and elevated persistence index.
Observation A1 combined a high predicted genotypic value and elevated persistence index.
Observation AD1 combined a high predicted genotypic value and elevated persistence index.
Method / resource Flexible mixed models were interpreted as improving reliability of genetic evaluation.

Observationobservedoriginal resultmeasured

Claim · model-written summary

Genotype-mean heritability ranged from 0.84 to 0.86.

Taxon: Coffea canephoraCoffea canephorat0
Outcome: genotype-mean heritabilitye0
Value: 0.84 to 0.86e0

Verbatim

e0
“genotype-mean heritability from 0.84 to 0.86”
✓ located verbatim in the source · abstract, characters 644–688

t0
“Coffea canephora”
✓ located verbatim in the source · title, characters 110–126

Title

Modeling temporal genetic variability using mixed models improves yield stability and selection efficiency in Coffea canephora

Alex Campanharo; Deurimar Herênio Gonçalves Júnior; Máskio Daros; et al. Frontiers in Plant Science 2026. doi:10.3389/fpls.2026.1840043

Other claims from this paper (10)

Method / resource M7 had the lowest AIC and BIC of evaluated models.
Observation Plot-level heritability ranged from 0.64 to 0.68.
Observation Repeatability was 0.89.
Observation Selective accuracy ranged from 0.92 to 0.94.
Association Genetic correlations indicated atypical 2023 behavior attributed to heat stress during grain filling.
Observation Relative selection efficiency rose cumulatively by 4.4% after four years.
Observation Bicudo combined a high predicted genotypic value and elevated persistence index.
Observation A1 combined a high predicted genotypic value and elevated persistence index.
Observation AD1 combined a high predicted genotypic value and elevated persistence index.
Method / resource Flexible mixed models were interpreted as improving reliability of genetic evaluation.

Observationobservedoriginal resultmeasured

Claim · model-written summary

Plot-level heritability ranged from 0.64 to 0.68.

Taxon: Coffea canephoraCoffea canephorat0
Outcome: Plot-level heritabilitye0
Value: 0.64 to 0.68e0

Verbatim

e0
“Plot-level heritability ranged from 0.64 to 0.68”
✓ located verbatim in the source · abstract, characters 594–642

t0
“Coffea canephora”
✓ located verbatim in the source · title, characters 110–126

Title

Modeling temporal genetic variability using mixed models improves yield stability and selection efficiency in Coffea canephora

Alex Campanharo; Deurimar Herênio Gonçalves Júnior; Máskio Daros; et al. Frontiers in Plant Science 2026. doi:10.3389/fpls.2026.1840043

Other claims from this paper (10)

Method / resource M7 had the lowest AIC and BIC of evaluated models.
Observation Genotype-mean heritability ranged from 0.84 to 0.86.
Observation Repeatability was 0.89.
Observation Selective accuracy ranged from 0.92 to 0.94.
Association Genetic correlations indicated atypical 2023 behavior attributed to heat stress during grain filling.
Observation Relative selection efficiency rose cumulatively by 4.4% after four years.
Observation Bicudo combined a high predicted genotypic value and elevated persistence index.
Observation A1 combined a high predicted genotypic value and elevated persistence index.
Observation AD1 combined a high predicted genotypic value and elevated persistence index.
Method / resource Flexible mixed models were interpreted as improving reliability of genetic evaluation.

Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

Relative selection efficiency rose cumulatively by 4.4% after four years.

Taxon: Coffea canephoraCoffea canephorat0
Outcome: Relative selection efficiencye0
Direction: increasede0
Value: 4.4%e0
Qualifier: after four yearse0

Verbatim

e0
“Relative selection efficiency increased cumulatively by 4.4% after four years.”
✓ located verbatim in the source · abstract, characters 864–942

t0
“Coffea canephora”
✓ located verbatim in the source · title, characters 110–126

Title

Modeling temporal genetic variability using mixed models improves yield stability and selection efficiency in Coffea canephora

Alex Campanharo; Deurimar Herênio Gonçalves Júnior; Máskio Daros; et al. Frontiers in Plant Science 2026. doi:10.3389/fpls.2026.1840043

Other claims from this paper (10)

Method / resource M7 had the lowest AIC and BIC of evaluated models.
Observation Plot-level heritability ranged from 0.64 to 0.68.
Observation Genotype-mean heritability ranged from 0.84 to 0.86.
Observation Repeatability was 0.89.
Observation Selective accuracy ranged from 0.92 to 0.94.
Association Genetic correlations indicated atypical 2023 behavior attributed to heat stress during grain filling.
Observation Bicudo combined a high predicted genotypic value and elevated persistence index.
Observation A1 combined a high predicted genotypic value and elevated persistence index.
Observation AD1 combined a high predicted genotypic value and elevated persistence index.
Method / resource Flexible mixed models were interpreted as improving reliability of genetic evaluation.

Method / resourceauthor interpretationoriginal resultpositivemeasured

Claim · model-written summary

Flexible mixed models were interpreted as improving reliability of genetic evaluation.

Taxon: C. canephoraCoffea canephorae0
Outcome: reliability of genetic evaluatione0
Direction: improvee0

Not reportedComparator

Verbatim

e0
“Flexible mixed model approaches improve the reliability of genetic evaluation and support resilience-oriented selection strategies in C. canephora”
✓ located verbatim in the source · abstract, characters 1068–1214

Title

Modeling temporal genetic variability using mixed models improves yield stability and selection efficiency in Coffea canephora

Alex Campanharo; Deurimar Herênio Gonçalves Júnior; Máskio Daros; et al. Frontiers in Plant Science 2026. doi:10.3389/fpls.2026.1840043

Other claims from this paper (10)

Method / resource M7 had the lowest AIC and BIC of evaluated models.
Observation Plot-level heritability ranged from 0.64 to 0.68.
Observation Genotype-mean heritability ranged from 0.84 to 0.86.
Observation Repeatability was 0.89.
Observation Selective accuracy ranged from 0.92 to 0.94.
Association Genetic correlations indicated atypical 2023 behavior attributed to heat stress during grain filling.
Observation Relative selection efficiency rose cumulatively by 4.4% after four years.
Observation Bicudo combined a high predicted genotypic value and elevated persistence index.
Observation A1 combined a high predicted genotypic value and elevated persistence index.
Observation AD1 combined a high predicted genotypic value and elevated persistence index.

Associationobservedoriginal resultmeasured

Claim · model-written summary

Genetic correlations indicated atypical 2023 behavior attributed to heat stress during grain filling.

Taxon: Coffea canephoraCoffea canephorat0
Treatment: heat stress during grain fillinge0
Outcome: atypical behavior in 2023e0

Not reportedDirection

Verbatim

e0
“Genetic correlations revealed atypical behavior in 2023, driven by heat stress during grain filling.”
✓ located verbatim in the source · abstract, characters 763–863

t0
“Coffea canephora”
✓ located verbatim in the source · title, characters 110–126

Title

Modeling temporal genetic variability using mixed models improves yield stability and selection efficiency in Coffea canephora

Alex Campanharo; Deurimar Herênio Gonçalves Júnior; Máskio Daros; et al. Frontiers in Plant Science 2026. doi:10.3389/fpls.2026.1840043

Other claims from this paper (10)

Method / resource M7 had the lowest AIC and BIC of evaluated models.
Observation Plot-level heritability ranged from 0.64 to 0.68.
Observation Genotype-mean heritability ranged from 0.84 to 0.86.
Observation Repeatability was 0.89.
Observation Selective accuracy ranged from 0.92 to 0.94.
Observation Relative selection efficiency rose cumulatively by 4.4% after four years.
Observation Bicudo combined a high predicted genotypic value and elevated persistence index.
Observation A1 combined a high predicted genotypic value and elevated persistence index.
Observation AD1 combined a high predicted genotypic value and elevated persistence index.
Method / resource Flexible mixed models were interpreted as improving reliability of genetic evaluation.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

M7 had the lowest AIC and BIC of evaluated models.

Taxon: Coffea canephoraCoffea canephorat0
Outcome: best fite0
Direction: loweste0
Qualifier: AIC and BICe0
Comparator: M7e0

Verbatim

e0
“The flexible model M7 (unstructured genetic covariance matrix with year-specific residual variances) provided the best fit (lowest AIC and BIC).”
✓ located verbatim in the source · abstract, characters 449–593

t0
“Coffea canephora”
✓ located verbatim in the source · title, characters 110–126

Title

Modeling temporal genetic variability using mixed models improves yield stability and selection efficiency in Coffea canephora

Alex Campanharo; Deurimar Herênio Gonçalves Júnior; Máskio Daros; et al. Frontiers in Plant Science 2026. doi:10.3389/fpls.2026.1840043

Other claims from this paper (10)

Observation Plot-level heritability ranged from 0.64 to 0.68.
Observation Genotype-mean heritability ranged from 0.84 to 0.86.
Observation Repeatability was 0.89.
Observation Selective accuracy ranged from 0.92 to 0.94.
Association Genetic correlations indicated atypical 2023 behavior attributed to heat stress during grain filling.
Observation Relative selection efficiency rose cumulatively by 4.4% after four years.
Observation Bicudo combined a high predicted genotypic value and elevated persistence index.
Observation A1 combined a high predicted genotypic value and elevated persistence index.
Observation AD1 combined a high predicted genotypic value and elevated persistence index.
Method / resource Flexible mixed models were interpreted as improving reliability of genetic evaluation.

Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

Mean genotype heritability was moderate to high for grain yield, ears per square meter and plant height.

Taxon: Durum wheatTriticum turgidum subsp. durume1
Outcome: grain yield, ears per square meter, plant heighte0
Direction: moderate to highe0

Verbatim

e0
“grain yield, ears per square meter, plant height, bleached wheat, thousand-grain weight, and hectoliter weight exhibited moderate to high heritability of the mean genotype (h² mg )”
✓ located verbatim in the source · abstract, characters 897–1077

e1
“Durum wheat, a staple crop in Italy”
✓ located verbatim in the source · abstract, characters 0–35

Title

Assessing temporal variability in durum wheat performance and stability through multi-trait mean performance selection in Mediterranean climate

Mohamed Houssemeddine Sellami; Ida Di Mola; Lucia Ottaiano; et al. Frontiers in Agronomy 2024. doi:10.3389/fagro.2024.1466040

Other claims from this paper (12)

Association Genotype by environment interaction significantly affected all measured traits.
Association High temperatures, elevated VPD and water deficits severely affected yield and quality in warm years.
Association Cooler, well watered years promoted better growth.
Association Cooler, well watered years promoted higher yields.
Observation Broad-sense heritability was generally low.
Observation Mean genotype heritability was moderate to high for bleached wheat, thousand-grain weight and hectoliter weight.
Association Protein content was strongly correlated with gluten index.
Association Grain yield was strongly correlated with spikes per square meter.
Method / resource MTMPS identified six top-performing varieties.
Observation Antalis showed strong adaptability and stability, especially in hotter, drier conditions.
Observation Core showed strong adaptability and stability, especially in hotter, drier conditions.
Observation Furio Camillo exhibited valuable traits.

Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

Mean genotype heritability was moderate to high for bleached wheat, thousand-grain weight and hectoliter weight.

Taxon: Durum wheatTriticum turgidum subsp. durume1
Outcome: bleached wheat, thousand-grain weight, and hectoliter weighte0
Direction: moderate to highe0

Verbatim

e0
“grain yield, ears per square meter, plant height, bleached wheat, thousand-grain weight, and hectoliter weight exhibited moderate to high heritability of the mean genotype (h² mg )”
✓ located verbatim in the source · abstract, characters 897–1077

e1
“Durum wheat, a staple crop in Italy”
✓ located verbatim in the source · abstract, characters 0–35

Title

Assessing temporal variability in durum wheat performance and stability through multi-trait mean performance selection in Mediterranean climate

Mohamed Houssemeddine Sellami; Ida Di Mola; Lucia Ottaiano; et al. Frontiers in Agronomy 2024. doi:10.3389/fagro.2024.1466040

Other claims from this paper (12)

Association Genotype by environment interaction significantly affected all measured traits.
Association High temperatures, elevated VPD and water deficits severely affected yield and quality in warm years.
Association Cooler, well watered years promoted better growth.
Association Cooler, well watered years promoted higher yields.
Observation Broad-sense heritability was generally low.
Observation Mean genotype heritability was moderate to high for grain yield, ears per square meter and plant height.
Association Protein content was strongly correlated with gluten index.
Association Grain yield was strongly correlated with spikes per square meter.
Method / resource MTMPS identified six top-performing varieties.
Observation Antalis showed strong adaptability and stability, especially in hotter, drier conditions.
Observation Core showed strong adaptability and stability, especially in hotter, drier conditions.
Observation Furio Camillo exhibited valuable traits.

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“temporal yield variability”

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