Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-26T02:49:08.977Z Has data issue: false hasContentIssue false

Genotypic variation in cardinal temperatures and thermal time for germination and seedling emergence of pigeonpea (Cajanus cajan [L.] Millsp.)

Subject: Life Science and Biomedicine

Published online by Cambridge University Press:  09 December 2021

Sabampillai Mahendraraj*
Affiliation:
Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, Queensland, Australia
Marisa Collins
Affiliation:
La Trobe University, Melbourne, Victoria, Australia
Yash Chauhan
Affiliation:
Department of Agriculture and Fisheries, Brisbane, Queensland, Australia
Vincent Mellor
Affiliation:
The University of Queensland, Brisbane, Queensland, Australia
Rao C. N. Rachaputi
Affiliation:
Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, Queensland, Australia
*
*Corresponding author. Email: [email protected]

Abstract

In this study, we define the cardinal temperatures and thermal time for germination and emergence of pigeonpea genotypes. Seeds of six genotypes were subjected to constant temperatures ranging between 5 and 50°C in petri dishes with filter paper (germination) and with media (emergence) were placed in a thermal gradient plate. A nonlinear bent-stick model fitted to the rate of development to germination and emergence resulted in parameters predicting cardinal temperatures including base (Tb), optimum (To), maximum (Tm), and thermal time. Estimated Tb for 50% germination and emergence were 8.4 and 10.8°C, respectively, with no significant differences between genotypes. Optimum temperatures were 33.8 and 37.9°C for germination and emergence, respectively, with genotypes differing significantly. Thermal time for 50% germination and emergence varied significantly among genotypes. The results suggest that genotypic responses to the temperature are typical for their tropical origin and hence their suitability for cropping in summer dominant rainfall regions insubtropical Australia.

Type
Research Article
Information
Result type: Novel result
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press

1. Introduction

Pigeonpea (Cajanus cajan [L.] Millsp.) is an important legume crop originating from India and grows well in tropical and subtropical environments extending between 30oN and 30oS latitude. Unlike other grain legumes, pigeonpea production is concentrated in developing countries, particularly in South/Southeast Asian and Eastern/Southern African countries (Sharma, Reference Sharma1980). Information on a crop’s response to temperature and photoperiod is required to characterize the planting windows and assess the suitability of the crop to different growing environments. Estimation of cardinal temperatures provides the ability to predict most suitable temperatures for germination and emergence, and this information is crucial for understanding the seedling.

Seed germination and seedling emergence are biological processes dependent on the interaction of soil temperature and moisture that determine the successful establishment of the crop (Moot et al., Reference Moot, Scot, Roy and Nicholls2000). Seed germination is driven by soil temperature and water potential, whereas emergence is mainly driven by soil temperature (Wang, Reference Wang2005). The thermal time concept has been used to describe the effect of temperature on germination and emergence in nonlimiting moisture conditions of several plant species (Grundy et al., Reference Grundy, Phelps, Reader and Burston2000; Hardegree, Reference Hardegree2006; Michele et al., Reference Michele, Derrick, Paolo, Andrea and Richards2009; Moot et al., Reference Moot, Scot, Roy and Nicholls2000). The calculation of thermal time accumulation for germination and emergence requires the definition of the base (Tb), optimum (To), and maximum (Tm) temperatures. Cardinal temperatures are often determined by assessing the germination rates over a range of temperatures (Angus et al., Reference Angus, Cunnimghum, Moncur and Mackenzie1981). The reported mean cardinal temperatures for pigeonpea germination were Tb of 9.9°C (range 6.7–12.4°C), To of 32.0°C (range 26.2–36.0°C), and Tm of 45.0°C (range 43.4–46.0°C) with a substantial genotypic variation (Carberry et al., Reference Carberry, Ranganathan, Reddy, Chauhan and Robertson2001; de-Jabrun et al., Reference de-Jabrun, Byth, Wallis and Nene1980). Angus et al. (Reference Angus, Cunnimghum, Moncur and Mackenzie1981) examined six cultivars of pigeonpea under 16 sowing dates in field, reporting Tb for seedling emergence as 12.7–13.0°C and thermal time as 55.3–61.1°Cd. Moot et al. (Reference Moot, Scot, Roy and Nicholls2000) found that the Tb for germination and emergence of temperate herbage species were ≤4°C and thermal time (Tt) requirement for germination ranged from 40 to 160°Cd. The information about the germination and seedling emergence response to temperature is essential to characterize the planting windows and assessing suitability of crops to different growing environments (Covell et al., Reference Covell, Ellis, Roberts and Summerfield1986). However, there is limited information on cardinal temperatures for Australian-bred pigeonpea genotypes. The objective of this study was to quantify the cardinal temperatures and thermal time requirements for germination and emergence of six selected pigeonpea genotypes under 10 different constant temperature conditions.

2. Methods

Laboratory experiments were conducted at the Gatton Campus, University of Queensland, Australia (Latitude 27.5571oS, 152.2770oE). Six genotypes selected for this study were Quest, Queensland pigeonpea line (QPL) 941, QPL 1001, ICRISAT pigeonpea line (ICPL) 88022, ICPL 88039, and ICP 14425. The genotypes Quest, QPL 941, and QPL 1001 were obtained from the Australian Grains Gene Bank. The genotypes ICPL 86022, ICPL 88039, and ICP 14425 were the advanced breeding lines introduced from the International Crop Research Institute for the Semi-Arid Tropics (ICRISAT), India.

2.1 Germination

Three replicates of 25 seeds of each genotype were placed in petri dishes of 9-cm diameter lined with a double filter paper, watered with 10 ml of deionized water, and incubated at constant temperatures 5 and 50°C (6.8, 11.5, 16.4, 20.8, 24.6, 28.9, 33.3, 37.4, 42.5, and 47.4°C) in a thermal gradient bar. Seeds were considered germinated when radicle length exceeded 2 mm.

2.2 Emergence

Three replicates of 25 seeds of each genotype were placed in a petri dish (9 cm of diameter × 2.5 cm of depth) incubated at constant temperatures between 10 and 45°C (12.4, 16.4, 19.6, 22.4, 25.2, 28.0, 30.9, 34.2, 38.4, and 43.3°C) at a thermal gradient bar. Topsoil (sandy loam with 20% clay)–peatmoss mix (2:3) was used as a germination media (Michele et al., Reference Michele, Derrick, Paolo, Andrea and Richards2009). Deionized water was added to the topsoil–peatmoss media, as required to ensure moisture was not limiting for emergence. The bottom of the petri dishes was wrapped with aluminum foil to create a dark environment to encourage the hypocotyl to grow upward. The visual appearance of the hypocotyl loop above the soil surface was considered as emergence.

The temperature was recorded at 1-hr intervals using “Tiny tag Ultra®” data loggers (TGU-1515, Gemini Data Loggers, Chichester, United Kingdom) with an accuracy of ±0.5°C and a range of −40 to 85°C. The germination and emergence were monitored daily at the same hour of the day and continued until no further germination or emergence occurred for three consecutive days.

2.3 Statistical analysis

The inverse of the duration (1/t 50) for 50% of final germination and emergence represented the rate of development (Angus et al., Reference Angus, Cunnimghum, Moncur and Mackenzie1981; Masin et al., Reference Masin, Onofri, Gasparini, Zanin and Gonzalez-Andujar2017; Moot et al., Reference Moot, Scot, Roy and Nicholls2000; Parmoon et al., Reference Parmoon, Moosavi, Akbari and Ebadi2015). Nonlinear bent-stick model (equation (1)) for the rate of development and temperature were fitted on aggregated data (over three replicates) using nonlinear least squares in R studio, version 4.1.0 (Faraway, Reference Faraway2009).

(1) $$ \unicode{x03BC} \hskip1.5pt =\hskip1.5pt {\beta}_1+{\beta}_2X+{\beta}_3\left(X-\delta \right)\times \zeta, $$

where $ \zeta $  = 0 when X < $ \delta $ ; otherwise 1 (Michele et al., Reference Michele, Derrick, Paolo, Andrea and Richards2009).

In this equation, μ represents the germination or emergence rate, X is the temperature, δ is the breakpoint, $ {\beta}_1 $ is an intercept, $ {\beta}_2 $ is the slope of the first segment, and $ {\beta}_2 $  +  $ {\beta}_3 $ is the slope of the second segment.

The germination and emergence rates (1/t 50) were calculated and plotted against temperature for each genotype, and the lines converge to an intercept on the x-axis whereas Tb (equation (2)). To was predicted from the breakpoint of the curve of the fitted model. The x-intercept at supraoptimal temperatures was provided as values of Tm (equation (3)).

(2) $$ \hskip-5.5pc {T}_b\hskip1.5pt =\hskip1.5pt -{\beta}_1/{\beta}_2, $$
(3) $$ \hskip-0pc {T}_{max}\hskip1.5pt =\hskip1.5pt \left({\beta}_1-{\beta}_3\right)\hskip1.5pt \ast \hskip2pt \delta /\left({\beta}_2+{\beta}_3\right), $$
(4) $$ \hskip-5.9pc {Tt}_{sub}\hskip1.5pt =\hskip1.5pt 1/{\beta}_2, $$
(5) $$ \hskip-2.8pc {Tt}_{sup}\hskip1.5pt =\hskip1.5pt -1/\left({\beta}_2+{\beta}_3\right). $$

Thermal times (°Cd) were calculated separately as the inverse slope of suboptimal and supoptimal regression equations (equations (4) and (5)). The above procedure was performed for individual genotypes and genotype groups (QPL and ICPL). A paired t-test was performed by combining QPLs and ICPLs into groups. All pairwise comparisons among genotypes and their significances were performed using least significant difference at p < .05 proposed by Piepho (Reference Piepho2012). p-values were computed using permutation hypothesis test and compared with normal theory-based values derived by fitting replicated data (Faraway, Reference Faraway2009).

3. Results

The maximum germination and emergence percentage of each genotype differed across incubation temperatures. It was greater than 80% between the temperature ranges of 20.8–37.4°C for germination, whereas emergence was above 80% between 25.2 and 34.2°C for all the genotypes. There was no germination of any genotype below 6.8°C and above 47.4°C, and no emergence below 16.4°C and above 43.3°C were observed in all genotypes (Table 1).

Table 1. Maximum germination (G) and emergence (E) percentage under constant incubation temperature (T 1 − T 10) regimes for six pigeonpea genotypes. Within column values followed by different letters are significantly different at p < .05

The germination and emergence rates (1/t 50) were calculated and plotted against temperature for each genotype (Figures 1 and 2; Angus et al., Reference Angus, Cunnimghum, Moncur and Mackenzie1981). The distribution of values of cardinal temperatures and thermal time requirements for the genotypes are reported in Tables 2 and 3.

Figure 1. Fitting bent-stick nonlinear model for germination rate (1/t 50) as a function of incubation temperatures of 6.8, 11.5, 16.4, 20.8, 24.6, 28.9, 33.3, 37.4, 42.5, and 47.4°C for pigeonpea genotypes. 1/t 50 is the rate of development to 50% of germination (d −1).

Figure 2. Fitting bent-stick nonlinear models for emergence rate (1/t 50) as a function of incubation temperatures of 12.4, 16.4, 119.6, 22.4, 25.2, 28.0, 30.9, 34.2, 38.4, and 43.3°C for the six pigeonpea genotypes. 1/t 50 is the rate of development to 50% of emergence (d −1).

Table 2. Cardinal temperatures for germination and emergence of pigeonpea genotypes. Tb is the base temperature, To is the optimum temperature, Tm is the maximum temperature, and s.e.m. - Standard error of the mean

Note. Values followed by different letters differ significantly from one another (p < .05). Each cardinal temperature value was an average of three replications.

Table 3. Thermal time to 50% germination and 50% emergence of pigeonpea genotypes. Tt sub is the thermal time at suboptimal temperatures, and Tt sup is thermal time at supraoptimal temperatures

Note. Values followed by different letters differ significantly from one another (p < .05). Each cardinal temperature value was an average of three replications.

Here, the mean Tb values for germination and emergence were 8.4 and 10.8°C, respectively. The mean Tm values for germination and emergence were 47 and 44°C, respectively. The Tb and Tm values for the 50th percentile showed no significant difference among genotypes in both experiments. The calculated Tb for emergence was higher than germination with lower To and Tm values (Table 2).

The mean value of To for germination (37.9°C) was greater than that of emergence (33.8°C). The genotypes varied significantly for To for germination and emergence (Table 2). Optimum temperatures for germination and emergence of genotype ICP 14425 were consistently higher (40.7 and 37.0°C, respectively).

The Tt for germination at suboptimal (T < To) and supraoptimal (T > To) ranges were lower than emergence (Table 3). A significant genotypic variation for Tt was observed in both germination and emergence experiments (p < .05). The Tt for 50% emergence at suboptimal and supraoptimal ranges were much higher than those of germination (Table 3).

Results of this study showed a well-defined trend between QPL and ICPL genotypes concerning the rate of germination. The QPL genotypes reached maximum germination rates at much lower temperatures than the ICPL lines and exhibited a much broader temp range at which rates of germination were at a maximum (Figure 3).

Figure 3. Fitting bent-stick nonlinear model for germination rate (1/t 50) as a function of incubation temperatures of 6.8, 11.5, 16.4, 20.8, 24.6, 28.9, 33.3, 37.4, 42.5, and 47.4°C for ICPL (I) and QPL (Q) pigeonpea lines. 1/t 50 is the rate of development to 50% of germination (d −1).

The results of the paired t-test revealed that the To for germination varied significantly (p < .001) between QPL (34.8°C) and ICPL (39.7°C) lines. However, two groups of pigeonpea lines (QPL and ICPL) had similar response to different temperatures for emergence with the mean To of 36.3°C (p = .034; Figure 4).

Figure 4. Fitting bent-stick nonlinear model for emergence rate (1/t 50) as a function of incubation temperatures of 12.4, 16.4, 119.6, 22.4, 25.2, 28.0, 30.9, 34.2, 38.4, and 43.3°C for ICPL (I) and QPL (Q) pigeonpea lines. 1/t 50 is the rate of development to 50% of germination (d −1).

4. Discussion

Information on cardinal temperatures is critical to predict germination time and seedling establishment in the field. The estimated mean values of cardinal temperatures for germination, Tb, To, and Tm, were 8.4°C ± 0.35 (range 7.0–9.2°C), 37.9°C ± 1.2 (range 33.1–40.7°C), and 47.0°C ± 0.31 (range 45.6–47.4°C), respectively. These values were consistent with the range reported for pigeonpea (Angus et al., Reference Angus, Cunnimghum, Moncur and Mackenzie1981; Carberry et al., Reference Carberry, Ranganathan, Reddy, Chauhan and Robertson2001; de-Jabrun et al., Reference de-Jabrun, Byth, Wallis and Nene1980). Carberry et al. (Reference Carberry, Ranganathan, Reddy, Chauhan and Robertson2001) reported that, mean values of cardinal temperatures for pigeonpea germination were, the Tb of 9.9°C (range 6.7–12.4°C) and the To of 32.0°C (range 26.2–36.0°C) and the Tm of 44.1°C (range 43.4–46.0°C) with a significant genotypic variation (p < .05). These figures were consistent with the cardinal temperatures reported by de-Jabrun et al. (Reference de-Jabrun, Byth, Wallis and Nene1980), Tb of 7.1°C and To of 32.5°C (range 29.0–36.0°C) for germination.

The estimated cardinal temperatures for pigeonpea seedling emergence were 10.8°C ± 0.40 (range 9.4–11.7°C) for Tb, 33.8°C ± 1.4 (range 30.1–37.0°C) for To, and 44.1°C ± 0.41 (range 43.3–45.4°C) for Tm. According to Angus et al. (Reference Angus, Cunnimghum, Moncur and Mackenzie1981), the base temperature of pigeonpea grown in a field for emergence was 12.8°C ± 0.14°C. Among six genotypes tested, no significant differences were observed in the Tb for germination and emergence (p > .05), whereas a substantial genotypic variation was observed in the To for both germination and emergence (p < .05). The Tt for 50% germination and emergence varied significantly (p < .05) among genotypes (Table 3). The mean Tt for germination at sub- and supraoptimal temperature contrasts with the value of 58.2°Cd for thermal time requirement for emergence of pigeonpea presented by Angus et al. (Reference Angus, Cunnimghum, Moncur and Mackenzie1981). The authors used linear broken-stick model, which may fail to capture nonlinearity of the temperature response leading to this discrepancy. Moot et al. (Reference Moot, Scot, Roy and Nicholls2000) defined Tb and Tt for temperate pasture species found that a higher Tt for 50% field emergence for small seeded grass species (200–220°Cd).

The genotypic group analysis revealed that the germination and seedling emergence dynamics of the QPL genotypes were different from ICPL pigeonpea genotypes (Figure 4). The varying To among genotypes and between the two sets of pigeonpea genotypes might be attributed to the origin of these genotypes. For example, ICPL genotypes are adapted to the tropical environments of India and have a higher optimum growing temperature and not tolerant of cooler temperatures, whereas the QPL genotypes have broader optimum ranges.

The present study was conducted at constant temperatures, whereas, in field conditions, temperatures will have diurnal fluctuations. Furthermore, these cardinal temperatures are predictions only and may not indicate conditions that approximate the natural environment more closely.

Conclusion

The results of this study quantified the Tb for pigeonpea germination and emergence as 8.4 and 10.8°C, respectively. It also confirmed that no genotypic variation exists for the Tb and Tm temperatures (p > .05). However, the To for germination and emergence varied significantly among genotypes and between genotypic groups ranging from 33.1 to 40.7°C and 29.4 to 37.0°C, respectively (p < .05). The nonlinear broken-stick model also showed that there were significant differences in Tt requirements for germination and emergence between genotypes (p < .05). The results suggest that short duration pigeonpea genotypes exhibit germination and emergence responses to temperature and cardinal temperatures that are typical for their tropical origin. They are therefore broadly suited to cropping in the summer dominant rainfall regions of Australia, with soil temperature able to be used as guides to identify suitable sowing dates in different locations.

Acknowledgments

We would like to thank Dr. Mel Schneemilch, Senior Technical Officer, Plant Science, School of Agriculture and Food Science, The University of Queensland, for providing technical assistance to run the experiment in Thermal Gradient Plate.

Funding statement

This research received no specific grant from any funding agency, commercial, or not-for-profit sectors.

Conflicts of interest

The authors of this study declare none.

Authorship contributions

S.M., R.C.N.R., M.C., and Y.S. conceived and designed the study and contributed to writing. S.M. conducted data gathering. S.M. and V.M. performed statistical analysis.

Data availability statement

The data that support the findings of this study are available from the corresponding author (S.M.) upon reasonable request.

Supplementary Materials

To view supplementary material for this article, please visit http://dx.doi.org/10.1017/exp.2021.31.

References

Angus, J. F., Cunnimghum, R. B., Moncur, M. W., & Mackenzie, D. H. (1981). Phasic development in field. Thermal time response in the seedling phase. Field Crop Research, 3, 365378. https://doi.org/10.1016/0378-4290(80)90042-8CrossRefGoogle Scholar
Carberry, P. S., Ranganathan, R., Reddy, L. J., Chauhan, Y. S., & Robertson, M. J. (2001). Predicting growth and development of pigeonpea: Flowering response to photoperiod. Field Crop Research, 69, 151162. https://doi.org/10.1016/S0378-4290(00)00138-6CrossRefGoogle Scholar
Covell, S., Ellis, R. H., Roberts, E. H., & Summerfield, R. J. (1986). The influence of temperature on seed germination rate in grain legumes. Journal of Experimental Botany, 37, 705715. https://doi.org/10.1093/jxb/37.5.705CrossRefGoogle Scholar
de-Jabrun, P. L. M., Byth, D. E., & Wallis, E. S. (1980). Imbibition by and effects of temperature on germination of mature seed of pigeonpea. In International Workshop on Pigeonpea.(181187) ICCRISAT Center. Editor:Nene, Y.L.Google Scholar
Faraway, J. J. (2009). Linear Models with R. Texts in Statistical Science Series, 63. Chapman & Hall/CRC.Google Scholar
Grundy, A. C., Phelps, K., Reader, R. J., & Burston, S. (2000). Modelling the germination of Stellaria media using the concept of hydrothermal time. New Phytologist, 148, 433444. https://doi.org/10.1046/j.1469-8137.2000.00778.xCrossRefGoogle ScholarPubMed
Hardegree, S. P. (2006). Predicting germination response to temperature. I. Cardinal-temperature models and subpopulation-specific regression. Annals of Botany, 97, 11151125. https://doi.org/10.1093/aob/mcl071CrossRefGoogle ScholarPubMed
Masin, R., Onofri, A., Gasparini, V., Zanin, G., & Gonzalez-Andujar, J. (2017). Can alternating temperatures be used to estimate base temperature for seed germination? Weed Research, 57, 390398. https://doi.org/10.1111/wre.12270CrossRefGoogle Scholar
Michele, L., Derrick, J. M., Paolo, A., Andrea, C., & Richards, J. L. (2009). Thermal time requirements for germination, emergence and seedling development of adventive legume and grass species. New Zealand Journal of Agricultural Research, 52, 1729. http://dx.doi.org/10.1080/00288230909510485Google Scholar
Moot, D. J., Scot, W. R., Roy, A. M., & Nicholls, A. C. (2000). Base temperature and thermal time requirements for germination and emergence of temperate pasture species. New Zealand Journal of Agricultural Research, 43, 1525. https://doi.org/10.1080/00288233.2000.9513404CrossRefGoogle Scholar
Parmoon, G., Moosavi, S. M., Akbari, H., & Ebadi, A. (2015). quantifying cardinal temperatures and thermal time required for germination of Silybum marianum seed. The Crop Journal, 3, 145151. http://dx.doi.org/10.1016/j.cj.2014.11.003CrossRefGoogle Scholar
Piepho, H. P. (2012). An Algorithm for a letter-based representation of all-pairwise comparisons. Journal of Computational and Graphical Statistics, 13, 456466. http://doi.org/10.1198/1061860043515CrossRefGoogle Scholar
Sharma, D. L. (1980). International adaptation of pigeon pea. In Proceedings of the International Workshop on Pigeonpea Improvement (pp. 8293). ICRISAT Centre.Google Scholar
Wang, R. (2005). Modeling Seed Germination and Seedling Emergence Winterfat (Krascheninnikovia lanata (Push) A.D.Meeuse & Smit): Physiological Mechanisms and Ecological Relevance. University of Saskatoon.Google Scholar
Figure 0

Table 1. Maximum germination (G) and emergence (E) percentage under constant incubation temperature (T1 − T10) regimes for six pigeonpea genotypes. Within column values followed by different letters are significantly different at p < .05

Figure 1

Figure 1. Fitting bent-stick nonlinear model for germination rate (1/t50) as a function of incubation temperatures of 6.8, 11.5, 16.4, 20.8, 24.6, 28.9, 33.3, 37.4, 42.5, and 47.4°C for pigeonpea genotypes. 1/t50 is the rate of development to 50% of germination (d−1).

Figure 2

Figure 2. Fitting bent-stick nonlinear models for emergence rate (1/t50) as a function of incubation temperatures of 12.4, 16.4, 119.6, 22.4, 25.2, 28.0, 30.9, 34.2, 38.4, and 43.3°C for the six pigeonpea genotypes. 1/t50 is the rate of development to 50% of emergence (d−1).

Figure 3

Table 2. Cardinal temperatures for germination and emergence of pigeonpea genotypes. Tb is the base temperature, To is the optimum temperature, Tm is the maximum temperature, and s.e.m. - Standard error of the mean

Figure 4

Table 3. Thermal time to 50% germination and 50% emergence of pigeonpea genotypes. Ttsub is the thermal time at suboptimal temperatures, and Ttsup is thermal time at supraoptimal temperatures

Figure 5

Figure 3. Fitting bent-stick nonlinear model for germination rate (1/t50) as a function of incubation temperatures of 6.8, 11.5, 16.4, 20.8, 24.6, 28.9, 33.3, 37.4, 42.5, and 47.4°C for ICPL (I) and QPL (Q) pigeonpea lines. 1/t50 is the rate of development to 50% of germination (d−1).

Figure 6

Figure 4. Fitting bent-stick nonlinear model for emergence rate (1/t50) as a function of incubation temperatures of 12.4, 16.4, 119.6, 22.4, 25.2, 28.0, 30.9, 34.2, 38.4, and 43.3°C for ICPL (I) and QPL (Q) pigeonpea lines. 1/t50 is the rate of development to 50% of germination (d−1).

Supplementary material: File

Mahendraraj et al. supplementary material

Mahendraraj et al. supplementary material

Download Mahendraraj et al. supplementary material(File)
File 34.5 KB
Reviewing editor:  Richard Erickson US Geological Survey, Upper Midwest Environmental Sciences Center, 2630 Fanta Reed Rd, La Crosse, Wisconsin, United States, 54603
This article has been accepted because it is deemed to be scientifically sound, has the correct controls, has appropriate methodology and is statistically valid, and has been sent for additional statistical evaluation and met required revisions.

Review 1: Genotypic variation in cardinal temperatures and thermal time for germination and seedling emergence of pigeonpea [Cajanus cajan (L.) Millsp.]

Conflict of interest statement

“Reviewer declares none”

Comments

Comments to the Author: L93: Check the equation. I think it is = (3 ― 1) ∗ / (2 + 3)

L98: How did you get these equation?, I think you should cite the articles that used these equations.

L100-101: If you did a regression using the aggregated data, you would have one data of Tb, To, Tm, Ttsub and Ttsup by biotype. So how did you perform the ANOVA without replicates for tables 2 and 3?

L102: “paired t-test” or “t-test”.

L179-182: I do not know where the “34.8ºC” and “36.3ºC” come from. According to the methods (L102), you conducted a t-test comparing the QPL and ICPL lines. So, the average of the data presented in table 2 and 3 for each line must match, but it does not.

The second option is that you conducted another regression combining the QPL and ICPL lines, and then, these parameters were compared with a t-test. If you did this second option, you should clarified at the method section.

L205: In my point of view, you did not conduct a cluster analysis, you got the differences between lines with a t-test. Although, I think the information of this paragraph is interesting and I could fit better at L199 after “germination and emergence (P<0.05).”

L220-222: “The results … tropical origin”. This conclusion is good; however, you did not discuss it at previous section. I think that you should compare your results with the results of Moot et al., (2000). It would fit at L204.

Presentation

Overall score 3.7 out of 5
Is the article written in clear and proper English? (30%)
5 out of 5
Is the data presented in the most useful manner? (40%)
4 out of 5
Does the paper cite relevant and related articles appropriately? (30%)
2 out of 5

Context

Overall score 4.5 out of 5
Does the title suitably represent the article? (25%)
5 out of 5
Does the abstract correctly embody the content of the article? (25%)
5 out of 5
Does the introduction give appropriate context? (25%)
4 out of 5
Is the objective of the experiment clearly defined? (25%)
4 out of 5

Analysis

Overall score 3.2 out of 5
Does the discussion adequately interpret the results presented? (40%)
3 out of 5
Is the conclusion consistent with the results and discussion? (40%)
3 out of 5
Are the limitations of the experiment as well as the contributions of the experiment clearly outlined? (20%)
4 out of 5

Review 2: Genotypic variation in cardinal temperatures and thermal time for germination and seedling emergence of pigeonpea [Cajanus cajan (L.) Millsp.]

Conflict of interest statement

None

Comments

Comments to the Author: Please see my comments in the attached file.

Presentation

Overall score 3.6 out of 5
Is the article written in clear and proper English? (30%)
5 out of 5
Is the data presented in the most useful manner? (40%)
3 out of 5
Does the paper cite relevant and related articles appropriately? (30%)
3 out of 5

Context

Overall score 4 out of 5
Does the title suitably represent the article? (25%)
4 out of 5
Does the abstract correctly embody the content of the article? (25%)
4 out of 5
Does the introduction give appropriate context? (25%)
4 out of 5
Is the objective of the experiment clearly defined? (25%)
4 out of 5

Analysis

Overall score 4 out of 5
Does the discussion adequately interpret the results presented? (40%)
4 out of 5
Is the conclusion consistent with the results and discussion? (40%)
4 out of 5
Are the limitations of the experiment as well as the contributions of the experiment clearly outlined? (20%)
4 out of 5