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International Journal of Current Research and Review | Research Article 


DOI: http://dx.doi.org/10.31782/IJCRR.2019.11124 








Md Post Harvest Evaluation of Rice Hybrids 
"W" for Grain and Cooking Qualities 


IJCRR 


Section: Life 
Sciences 
Sci. Journal Impact 


Factor: 5.385 (2017) Anirban Nath!", Disharee Nath!, Chand Kumar Santra?, 
ICV: 71.54 (2015) 3 
Tapash Dasgupta 


"Department of Genetics and Plant Breeding, Institute of Agricultural Science, University of Calcutta. 51/2, Hazra Road, Kolkata -700019; 
"Rice Research Station, Govt. of West Bengal, Chinsurah- 712 102; "School of Agriculture and Rural Development, Ramakrishna Mission 


Vivekananda University, Narendrapur, Kolkata 700103. 


ABSTRACT 


Background: For commercial exploitation of rice hybrids, superior grain and cooking gualities are prereguisites. The current 
study evaluates thirty eight rice hybrids in terms of important grain and cooking guality parameters. 


Materials and Methods: Performances associated with grain guality parameters like Hulling%, Milling%, Head rice recovery%, 
Kernel length, Kernel Breadth and L/B ratio were recorded. In case of cooking gualities, characters like Amylose content, Gel 
consistency, Alkali spreading value, Gelatinization temperature, Elongation ratio and water uptake were estimated. The data 
obtained from the guality performances were also compared with consumer preferences reported by earlier authors. 


Results and Discussions: As per earlier reports, rice millers prefer 80 % Hulling, 70% milling and 65% head rice recovery. From 
the consumer's perspective long slender kernel, intermediate amylose, soft gel and intermediate gelatinization temperature are 
prereguisites. In the current investigation the hybrids like ADTRH1, GK5003 and Suruchi exhibited superior performances for all 
the grain qualities but lacked in one or more cooking quality parameters. On the contrary, hybrids like IR58025A x IR10198R, 
IR79156A x IR40750R, Sahyadri4, PSD 3 and PusaRH-10 exhibited superior cooking quality traits but lacked in one or more 
grain quality parameters. The hybrid IR80559A x IR6876-1 was the best performer fulfilling the criteria for most of the grain and 
cooking quality traits. A Correlation coefficient analysis was performed and significant correlations among the quality traits were 
elucidated. The analysis revealed that hulling (%) and head rice recovery (%) were significantly correlated with milling (%). Simi- 
larly Amylose content was negatively correlated with gel consistency. 


Conclusions: The hybrids showing superior grain and cooking qualities can be recommended for commercial production. The 
vital correlations can be used as tools for selection in terms of grain and cooking qualities. 

Key Words: Hybrid rice, Hulling, Milling, Head rice recovery, Amylose content, Gel consistency, Gelatinization temperature, 
Correlation coefficient analysis 





INTRODUCTION parameters like high milling %, head rice recovery %, grain 

shape, appearance, cooking qualities, palatability, etc are 

The high grain yield attributed by hybrid vigour will only be emphasized across rice growing regions. In most countries 
worthwhile if ultimately the rice obtained is of high quality including India ‘long grain’ type of rice which is soft and 
in terms of grain and cooking properties. In the absence of non-sticky upon cooking are preferred over ‘short grained’ 
adequate grain and cooking quality associated with the grain Japonica types which are sticky on cooking resulting from a 
obtained, the hybrid rice finally produced from a breeding Jow amylose content. In case of hybrid rice, achieving supe- 
program will be commercially inefficacious. Compared to rior grain and cooking quality is challenging. Firstly the con- 
other cereals, grain quality of rice is of crucial importance sumed grains belong to F, generation. Secondly the sterile 
and determines the market price since rice is consumed as a cytoplasm has significant influence on the quality traits asso- 
whole grain. Also, the preferences in terms of cooking quality ciated with the grain as reported by Shivani et al. (2007), Yi 
vary from region to region. In general, few desirable quality ang Cheng (1992), Virmani et al. (2003). The current study 





Corresponding Author: 
Anirban Nath, Department of Genetics and Plant Breeding, Institute of Agricultural Science, University of Calcutta. 51/2, Hazra Road, 
Kolkata -700019; Email: anirbannathkol@gmail.com 


ISSN: 2231-2196 (Print) ISSN: 0975-5241 (Online) 
Received: 18.05.2019 Revised: 05.06.2019 Accepted: 16.06.2019 











Int J Cur Res Rev | Vol 11 + Issue 12 - June 2019 


Nath et.al.: Post harvest evaluation of rice hybrids for grain and cooking gualities 


aims at evaluating 13 new hybrids (unreleased) and 25 com- 
mercially released hybrids for their physical grain and cook- 
ing gualities. 


MATERIALS AND METHODS 


The experiment was performed using 38 rice hybrids com- 
prising of 13 newly identified and 25 released hybrids from 
public and private sectors. The list of germ plasm evaluated 
in the current experiment is mentioned in the Table 1. For the 
analysis of guality traits, post-harvest seeds kept at a mois- 
ture level of 12 to 15% were used. After 60 days of harvest, 
the grain and cooking gualities were estimated. 


Characterization of Grain physical parameters: 
The vital grain guality characters like Hulling and Milling %, 
Length of Kernel, Breadth of Kernel, Length-breadth ratio 
and Head Rice Recovery% were evaluated. For estimating 
hulling % (HL) Paddy de husker (Satake, Japan Model — 
THU-35B) was used. For estimating Milling % (ML), repli- 
cated paddy seeds were milled using the rice miller (Satake, 
Japan Model — TMO 5C & TM - 05). Head rice recovery 
% (HRR) was estimated using 4 months old seeds as sug- 
gested by Khush et al. (1978). Head rice was separated us- 
ing the (Satake Japan, Model no.TRGOS58). The hulling %, 
milling % and Head rice recovery% were calculated as per 
Singh (2000). The Kernel Length (KL) and Kernel Breadth 
(KB) were measured using Dial Thickness Gauge (Mitutoyo, 
Japan, Range: 0.01- 20 mm). The LB ratio was calculated 
by dividing KL by KB. The Kernel Length was classified 
as >7.50mm (very long), 6.61 to 7.50(Long), 5.51 to 6.60 
(Medium or intermediate) and <5.50 (short). The LB ratio 
was classified as >3.0 (slender), 2.1 to 3.0 (medium), < 2.0 
(bold). 


Characterization of hybrids with respect to 
cooking guality parameters 

Cooking guality and palatability of rice are influenced pre- 
dominantly by the properties of starch, which corresponds to 
90% of the milled rice recovered. The physical and chemi- 
cal properties of starch can be approximated by the amylose 
content, gel consistency and alkali spreading value observed 
in the milled rice. In the current study Amylose Content 
(AC) was estimated following Sadasivam and Manikam 
(1992). Classification of grain type based on amylose con- 
tent into waxy (0-2%), very low (3-9%), Low (10-19%), in- 
termediate (20-25%) and High (>25%) was done following 
Kumar and Khush (1986). For determining the texture of the 
cooked rice, gel consistency (GC) was estimated and clas- 
sified following Cagampang et al.(1973). For determining 
the cooking temperature of the milled rice the gelatinization 
temperature (GT) was estimated using the Alkali spreading 


value (ASV). ASV was determined following Little (1958). 
The ASV and GT was scored following Singh (2000). The 
cooked rice properties like Elongation ratio (ER) and Water 
uptake (WU) were also estimated. The ER was estimated by 
dividing length of cooked rice by uncooked Azeez and Shafi 
(1966). 


RESULTS AND DISCUSSION: 


The performances of the hybrids in terms of grain physical 
qualities are discussed in Table 2. In terms of hulling and 
milling percentages the best performing hybrid was Indira 
Sona with 84.22% and 75.24 % hulling and milling recovery 
respectively. The highest head rice recovery% was observed 
in GK5003 (69.24 %). For the new crosses, the highest HL 
and ML was observed in IR69897A x CNR102 with 82.47 % 
and 75.21% hulling and milling recovery respectively. The 
highesr HRR (%) among the new crosses was observed in 
IR80559A X IR6876-1 (65.27 %). In terms of grain physical 
appearance, a long grained rice (long slender/medium) are 
highly marketable Kaul (1970), Singh et al. (2000). The grain 
type revealed that 26 out of 38 hybrids were long grained of 
which 24 are long slender and 2 hybrids were long medium. 


The cooking quality parameters of the hybrids were evaluated 
and discussed in Table3. The elongation ratio of the cooked 
rice was calculated. The highest elongation ratio (ER) was 
observed in PA 6444 (1.9). In case of amylose content, an 
intermediate value (20 to 25 %) is preferred by the consum- 
ers in the Indian sub continent. In the current study 28 out of 
38 hybrids exhibited an intermediate level of amylose. For 
determining the texture of the cooked rice, gel consistency 
was estimated. The Gel consistency suggests that 6 out of 38 
hybrids exhibited a soft gel with a gel migration of > 61mm. 
These hybrids can be presumed to maintain a soft texture in 
the cooked rice which is highly desired by consumers Tang 
et al. (1991). For determining the temperature required for 
cooking, Alkali spreading value indicating the GT was es- 
timated. In case of Gelatinization temperature, 29 out of 38 
hybrids exhibited an intermediate range of 70 to 74 °C. An 
intermediate cooking temperature is desired by the consum- 
ers Bansal et al. (2006). 


From the commercial perspective earlier reports indicated 
specific criteria which are to be fulfilled in terms of quality 
parameters. Fulfillment of these criteria can ensure market- 
ability for the hybrids. Bisne and Sarawgi (2008) indicated 
80% hulling percentage is required for marketability of a rice 
cultivar. Similarly 70% milling recovery and 65% head rice 
recovery was suggested by Cruz and Khush (2000), Bhon- 
sle and Sellappan (2010) respectively. For cooking quali- 
ties, intermediate amylose (20-25%), Soft gel consistency 
and intermediate gelatinization temperature were recom- 
mended Cruz and Khush (2000) Tang et al. (1991), Bansal 


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Nath et.al.: Post harvest evaluation of rice hybrids for grain and cooking gualities 


et al.(2006) respectively. Based on the fulfillment of such 
standards, performances of the hybrids in terms of quality 
traits were scored in the form of presence (+) or absence (-) 
in Table 4. It reveals that, none of the hybrids could fulfill all 
the criteria suggested. The hybrids IR58025A x IR10198R, 
IR79156A x IR40750R, Sahyadri 4, PSD 3 and Pusa RH-10 
exhibited superior cooking qualities in addition to long (slen- 
der/medium) grain types but lacked in traits like hulling, 
milling and head rice recovery. Whereas ADTRH1, GK5003 
and Suruchi fulfilled the superior grain quality parameters 
like hulling, milling and head rice recovery but lacked in one 
or more cooking qualities. The hybrid IR80559A x IR6876- 
1 fulfilled almost all the criteria for high performance with 
respect to both grain and cooking qualities only drawback 
being slightly low hulling percentage. 


Since the grain and cooking quality parameters are highly 
complex, prediction of performance becomes highly chal- 
lenging and tedious. In such cases understanding the mutual 
association between the quality traits is very helpful. Thus 
based on the performances of the hybrids, a correlation coef- 
ficient analysis was performed (Table 5). 


The correlation coefficient analysis indicated that the hull- 
ing % and head rice recovery % are positively correlated 
with milling %. Such correlations were also observed by 
Manonmani and Khan (2003). Hulling % and Head rice 
recovery % were also observed to be positively correlated. 
Influence of hulling percentage upon head rice recovery % 
was mentioned by Bisne and Sarawgi, (2008) who suggested 
that 80 % hulling percentage can enhance head rice recovery 
expected in the hybrids. From such observation it can be sug- 
gested that superior performance for any one of these three 
traits can indicate a desirable performance for the others. A 
significantly positive correlation was observed between Ker- 
nel length and L/B ratio. Similarly a significantly negative 
correlation at 1% probability was observed in case of kernel 
length and kernel breadth as well as between kernel breadth 
and L/B ratio. Thus from such observations it can be sug- 
gested that larger kernel length can indirectly ensure reduc- 
tion of grain breadth and increase of L/B ratio. Such hybrids 
can be expected to produce long slender or long medium 
grain type. Significant correlations among the characters as- 
sociated with grain shape has been also reported by Hussain 
et al.(1987), Naik et al.(2005), Rajamani et al. (2004). 


Since cooking guality ofrice is highly influenced by the grain 
amylose content, the correlations involving amylose content 
is worth analyzing. The amylose content of the grains were 
found to be positively correlated at significantly high prob- 
abilities with alkali spreading value. Such observations sug- 
gest that selection for the intermediate levels of amylose can 
indirectly ensure the intermediate GT. Such Intermediate 
GT within a range of 70 to 74°C is a desired attribute in terms 
of cooking guality. The positive association between the two 


traits was also suggested by Jennings et al.(1979). 


Another strong correlation associated with amylose was ob- 
served in case of Gel consistency. The two traits were nega- 
tively correlated at high probabilities. Thus increase of amyl- 
ose will lead to hard gel consistency with short gel flow and 
for low amylose the gel will be soft with a longer gel flow. 
This occurs as a result of the retrogradation behavior of am- 
ylose during cooling as suggested by Rani et al. (2006). Gel 
consistency determines the texture of the cooked rice after 
cooling down of rice following the completion of the cook- 
ing process. Thus selection of hybrids for desirable amylose 
content can ensure desirable texture for the cooked rice. The 
negative correlations between gel consistency and amylose 
content was reported earlier by Khatun et al. (2003). Apart 
from the above mentioned correlations which can be ex- 
ploited for determining the desired grain and cooking quality 
parameters, many other correlations have been observed be- 
tween the grain and quality traits. These correlations indicate 
the nature of interactions among the traits and the complex 
network of genetic interactions which influence these quality 
characters. 


CONCLUSIONS 


The performances of the hybrids in terms of important qual- 
ity traits provided vital inputs on the expected marketability 
of the hybrids. The study suggested that the cross combi- 
nation IR80559A x IR6876-1 was the best performer show- 
ing desirable results for both grain and cooking qualities. 
Thus the hybrid can be expected to be commercially desir- 
able. Other crosses like IR58025A x IRI0198R, IR79156A 
x IR40750R, Sahyadri 4, PSD 3 and Pusa RH-10 exhibited 
superior cooking qualities but lacked in grain qualities. The 
loss of head rice recovered in these lines can be avoided 
if they are consumed as brown rice. Similarly hybrids like 
ADTRHI, GK5003 and Suruchi performed well in terms 
of grain qualities but showed drawbacks in case of cooking 
qualities. These hybrids can be used for making rice based 
products. The results from the correlation coefficient analy- 
sis identified the traits which can influence multiple grain 
and cooking qualities. Evaluation of hybrids for these traits 
can in turn provide an approximate idea about the perfor- 
mances for other quality traits. 


ACKNOWLEDGEMENT 


Authors acknowledge the immense help received from the 
scholars whose articles are cited and included in references 
of this manuscript. The authors are also grateful to authors / 
editors / publishers of all those articles, journals and books 
from where the literature for this article has been reviewed 
and discussed. The authors extend their gratitude towards the 


Int J Cur Res Rev | Vol 11 - Issue 12 - June 2019 


Nath et.al.: Post harvest evaluation of rice hybrids for grain and cooking gualities 


project “Crop Breeding Research Unit” funded by Depart- 
ment of Agriculture, Govt. of West Bengal, India and Rice 
Research Station, Chinsurah, Hooghly Govt. of West Bengal 
for providing infrastructural support. 


nM 


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Table 1: Hybrids evaluated in terms of grain and cooking quality parameters. 


1 IR58025A X IR10198R New Cross 
2 IR58025A X MTU9992 New Cross 
3 IR58025A X CNR57 New Cross 
4 IR69897A X CNR45 New Cross 
5 IR69897A X CNR102 New Cross 
6 IR79156A X IR10198R New Cross 
7 IR79156A X IR40750R New Cross 
8 IR79156A X IR6876-1 New Cross 
9 IR80559A X IR10198R New Cross 
10 IR80559A X IR6876-1 New Cross 
u APMS6A X IR6876-1 New Cross 
12 IR58025A X CNR93 New Cross 
3 IR58025A X CNR98 New Cross 
14 US312 


Seed Works India Pvt. Ltd 


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Nath et.al.: Post harvest evaluation of rice hybrids for grain and cooking gualities 


Table 1: (Continued) 


15 Sahyadri2 Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli 
16 DRRH2 Directorate of Rice Research, Hyderabad 

17 DRRH3 Directorate of Rice Research, Hyderabad 

18 Sahyadri3 Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli 
19 Sahyadri4 Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli 
20 JRH4 JNKVV, Jabalpur,M.P, India 

21 PA 6129 Bayer Bio-Science 

22 PA 6444 Bayer Bio-Science 

23 APHR2 Andra Pradesh Rice Research Institute, Maruteru, India 
24 MGR-1 Tamil Nadu Agricultural University, Coimbatore 

25 PSD1 G. B. Pant University of Agriculture and Technology, Pantnagar 
26 PSD 3 G. B. Pant University of Agriculture and Technology, Pantnagar 
27 ADTRH1 Tamil Nadu Agricultural University, Coimbatore 

28 Sahyadri Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli 
29 PA6201 Bayer Bio-Science 

30 GK5003 Ganga Kaveri Seeds 

31 NSD3 Narendra Deva University of Agricultre and Technology 
32 AJAY Central Rice Research Institute (CRRI), Cuttack, India 
33 JRH5 JNKVV, Jabalpur,M.P, India 

34 PAC835 Advanta India Ltd 

35 HRI-157 Bayer Bio-Science 

36 Pusa.RH-10 Indian Agricultural Research Institute, New Delhi 

37 Ind. Sona Indira Gandhi Krishi Vishwa Vidyalaya, Raipur 

38 Suruchi Mahyco 


Table 2: Grain quality parameters of thirty eight hybrids 





1 IR58025A X IRio198R 79.38 70.14 60.21 6.70 2.09 3.21 LS 34.14 
2 IR58025A X MTUg992 75.59 68.41 62.37 6.69 2.02 3.31 LS 36.55 
3 IR58025A X CNR57 77.22 72.14 64.2 6.90 2.2 3.14 LS 37.21 
4 IR69897A X CNR45 81.32 74.21 61.55 6.80 2.01 3.38 L.S 39.69 
5 IR69897A X CNRi02 82.47 75.21 63.32 6.60 1.92 3.44 L.S 40.95 
6 IR79156A X [R10198R 67.31 60.24 55-78 5-97 1.91 3.13 MS 41.37 
7 IR79156A X IR40750R 70.49 68.32 56.17 6.60 2.1 3.14 LS 42.38 
8 IR79156A X IR6876-1 78.49 71.31 64.28 5-98 1.92 3.1 MS 45-43 
9 IR80559A X IR10198R 69.33 64.27 55.21 5.89 1.9 3.10 MS 41.33 
10 IR80559A X IR6876-1 79.21 70.18 65.27 6.62 2.12 3.12 LS 38.47 
u APMS6A X IR6876-1 81.24 72.38 63.41 5.88 1.89 3.1 MS 33-90 
12 IR58025A X CNR93 77.32 71.42 60.87 6.94 2.23 3. LS 46.69 
B IR58025A X CNR98 78.39 70.14 61.22 6.82 2.24 3.04 LS 46.30 
14 US312 75-32 67.18 65.12 6.12 1.97 3.1 MS 40.32 
15 Sahyadri2 81.17 68.33 50.14 7.08 2.07 3.42 LS 39.10 
16 DRRH2 72.14 68.28 59.32 6.63 1.89 3.51 LS 40.30 
17 DRRH3 77.21 68.47 60.33 5.73 187 3.06 MS 36.67 


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Nath et.al.: Post harvest evaluation of rice hybrids for grain and cooking gualities 


Table 2: (Continued) 


18 Sahyadri3 75.14 70.21 60.38 7.48 25 3.25 LS 42.12 
19 Sahyadri4 75:39 66.28 54-74 6.82 1.8 3.79 LS 33.46 
20 JRH4 72.47 67.32 53.14 6.61 2.35 2.81 LM 36.44 
21 PA 6129 81.22 70.28 60.73 6.67 1.72 3.88 LS 37.10 
22 PA 6444 80.12 7314 60.23 6.24 2.02 3.09 MS 37.18 
23 APHR2 77-47 64.23 50.23 6.64 2.11 3.15 LS 37.93 
24 MGR-1 71.22 66.3 59.29 5.9 1.9 3. MS 38.20 
25 PSD1 81.12 68.27 56.22 73 2.08 3.51 LS 35.78 
26 PSD3 79.3 65.21 60.22 7.01 2.12 3.31 LS 35.09 
27 ADTRH1 80.21 74.23 67.48 6.8 2.12 3.21 LS 37.43 
28 Sahyadri 7222 63.18 53.28 7.01 2.17 3.23 LS 37.20 
29 PA6201 80.51 69.45 62.74 6.08 2.01 3.02 MS 38.34 
30 GK5003 80.24 75.11 69.24 6.41 1.9 3.37 MS 37.89 
31 NSD3/2 77.39 68.38 50.44 6.71 2.19 3.06 LS 39.48 
32 AJAY 81.42 75-23 63.52 7.29 2.01 3.63 LS 38.57 
33 JRH5 72.23 69.41 52.24 6.7 2.19 3.06 LS 30.91 
34 PAC835 76.14 72.51 61.45 6.1 2 3.05 MS 36.41 
35 HRI-157 78.36 69.43 62.52 6.7 2.28 2.94 LM 37.91 
36 Pu.RHio 83.39 66.44 60.32 6.8 1.71 3.98 LS 31.47 
37 Ind. Sona 84.22 75.24 54.29 712 2.1 3.39 LS 37.61 
38 Suruchi 80.41 70.36 65.27 5.52 1.8 3.07 MS 39.67 
Mean 77-47 69.50 59.89 6.58 2.03 3.25 38.34 
Minimum 67.31 60.24 50.23 5.52 1.71 2.81 30.91 
Maximum 84.22 75.24 69.24 7.48 2.35 3.98 46.69 
CD at 5% 1.63 1.90 1.59 0.98 0.67 1.63 3.11 


HL= Hulling %, ML= Milling %, HRR %= Head Rice Recovery, KL= Kernel Length, KB= Kernel Breadth, LBR= L/B ratio, 
GS=Grain shape,GY= Grain tield/plant 


Table 3: Cooking quality parameters of thirty eight rice hybrids. 


1 IR58025A X IR10198R 1.82 21.80 62 3:2, Intermediate (70 to 742C) 
2 IR58025A X MTU9992 1.74 23.80 53 41 Intermediate (70 to 74°C) 
3 IR58025A X CNR57 1.68 23.40 48 5.1 Intermediate (70 to 742C) 
4 IR69897A X CNR45 1.52 25.90 50 5.5 Intermediate (70 to 74°C) 
5 IR69897A X CNRio2 1.63 22.10 59 3.5 Intermediate (70 to 74°C) 
6 IR79156A X IR10198R 1.58 24.90 45 5.2 Intermediate (70 to 74°C) 
7 IR79156A X IR40750R 1.61 20.80 67 3.7 Intermediate (70 to 74°C) 
8 IR79156A X IR6876-1 1.69 26.90 38 6.2 Low (55-69 °C) 

9 IR80559A X IR10198R 1.52 23.20 57 4.4 Intermediate (70 to 74°C) 
10 IR80559A X IR6876-1 1.66 22.90 64 4.2 Intermediate (70 to 74°C) 
u APMS6A X IR6876-1 1.77 23.28 49 4-7 Intermediate (70 to 742C) 
12 IR58025A X CNR93 1.80 24.10 39 4.6 Intermediate (70 to 742C)) 
B IR58025A X CNR98 1.79 23.51 47 51 Intermediate (70 to 74°C) 
14 US312 1.41 23.40 55 5.2 Intermediate (70 to 74°C) 
15 Sahyadri2 1.49 23.40 47 6.1 Low (55-69 °C) 

16 DRRH2 1.44 26.20 37 6.8 Low (55-69 °C) 

17 DRRH3 1.48 24.60 50 4.2 Intermediate (70 to 742C) 


Int J Cur Res Rev | Vol 11 - Issue 12 - June 2019 


Nath et.al.: Post harvest evaluation of rice hybrids for grain and cooking gualities 


Table 3: (Continued) 


18 Sahyadri3 1.57 24.90 53 3.9 Intermediate (70 to 742C) 
19 Sahyadri4 1.49 21.60 69 5.8 Intermediate (70 to 742C) 
20 JRH4 1.42 26.10 39 6.9 Low (55-69 2C) 
21 PA 6129 1.5 24.50 45 6.3 Low (55-69 °C) 
22 PA 6444 1.9 23.70 57 4.7 Intermediate (70 to 74°C) 
23 APHR2 1.64 27.38 33 73 Low (55-69 °C) 
24 MGR-1 1.6 29.80 30 7.4 Low (55-69 °C) 
25 PSD1 1.41 24.02 58 34 Intermediate (70 to 742C) 
26 PSD 3 1.77 20.70 63 4.2 Intermediate (70 to 742C) 
27 ADTRHi 1.74 25.30 39 4.8 Intermediate (70 to 74°C) 
28 Sahyadri 1.68 21.90 58 43 Intermediate (70 to 742C) 
29 PA6201 1.82 24.70 55 3.5 Intermediate (70 to 74°C) 
30 GK5003 1.77 24.60 59 4.1 Intermediate (70 to 742C) 
31 NSD3/2 1.81 22.70 51 5.4 Intermediate (70 to 742C) 
32 AJAY 1.49 25.90 39 6.5 Low (55-69 °C) 
33 JRH5 1.59 25.10 42 5.5 Intermediate (70 to 742C) 
34 PAC835 1.61 25.10 37 6.2 Low (55-69 °C) 
35 HRI-157 1.52 24.70 51 5.1 Intermediate (70 to 74°C) 
36 Pu.RHio 1.79 24.80 61 51 Intermediate (70 to 742C) 
37 Ind. Sona 1.51 22.91 59 4.8 Intermediate (70 to 742C) 
38 Suruchi 1.71 24.80 44 5.7 Intermediate (70 to 742C) 

Mean 1.63 24.19 50 5.06 

Minimum 1.41 20.70 30 3.10 

Maximum 1.90 29.80 69 7.40 

CD at 5% 0.30 0.91 2.33 1.34 


ER= Elongation Ratio, AC %= Amylose Content, GC (mm) = Gel Consistency, ASV= Alkali spreading value, GT=Gelatinization 
temperature. 


Table 4: Scoring of hybrids based on presence or absence of grain and cooking qualities recommended by 
earlier reports 


IR58025A X IR10198R - + - + + $ 4 
IR58025A X MTU9992 - - - + H + si 
IR58025A X CNR57 - + - + - + + 
IR69897A X CNR45 + + - - - + + 
IR69897A X CNR102 + + - + - + + 
IR79156A X IR10198R - - - + = + i, 
IR79156A X IR40750R - = - + + + + 
IR79156A X IR6876-1 - + - s = z - 


Int J Cur Res Rev | Vol 11 - Issue 12 - June 2019 


Nath et.al.: Post harvest evaluation of rice hybrids for grain and cooking gualities 


Table 4: (Continued) 


IR80559A X IR10198R - - - 4 = + - 
IR80559A X IR6876-1 - + + + + + + 
APMSGA X IR6876-1 + + - + - $ 8 
IR58025A X CNR93 - + - + - + + 
IR58025A X CNR98 - + - + - + + 
US312 - - + + R + z 
Sahyadriz + - - + - s + 
DRRH2 - - - - z - + 
DRRH3 - - - + > + 7 
Sahyadri3 - + - + A + + 
Sahyadri4 - - - + + + + 
JRH4 s s : : : S m 
PA 6129 4 de = + 2 - 4 
PA 6444 + + - + m $ : 
APHR2 - - - - s z + 
MGR-1 - - m = > 5 - 
PSDi + - - + = + že 
PSD 3 s = - + + + + 
ADTRHi + + + - - + 4 
Sahyadri - - - + = + + 
PA6201 + - - + z s - 
GK5003 + + + + = + z 
NSD3/2 : k : - - F s 
AJAY + + - - z 2 + 
JRH5 : ; ' : f 4 x 
PAC835 x + - - z z H 
HRI-157 = z $ + - + + 
Pu.RHio + - = + $ + $ 
Ind. Sona + + - $ - + + 
Suruchi + + + + = + z 


"Bisne and Sarawgi (2008); "Cruz and Khush(2000); ‘Bhonsle and Sellappan (2010); 4Cruz and Khush (2000); "Tang et al. (1991); 
‘Bansal et al. (2006); SKaul (1970); Singh et al (2000) 


Int J Cur Res Rev | Vol 11 - Issue 12 - June 2019 


Nath et.al.: Post harvest evaluation of rice hybrids for grain and cooking gualities 


Table 5: Correlation coefficient analysis among ten grain and cooking guality parameters 


HL 


ML 


HRR 


KL 


KB 


LBR 


ER 


ASV 


AC 


GC 


a v o v a vd o v o v o Va v o vo vo 


P 


1 
1 
o.71** 
0.65** 
0.51** 
0.43** 
0.25 
0.24 
-0.16 
-0.14 
0.21 
0.18 
0.24 
0.23 


-0.16 


-0.13 
-0.14 
-0.12 
0.15 


0.13 


0.58** 
0.56** 
0.18 
0.15 
0.08 
0.04 
o. 
0.08 
0.18 
0.16 


0.01 


0.05 


0.04 
0.02 


0.16 


0.144 


1 
1 
-0.24 
-0.20 
-0.25 
-0.24 
0.06 
0.04 
0.23 
0.21 


-0.01 


-0.06 
0.18 
0.12 
0.11 


0.09 


1 


1 


-0.52** 1 
-0.51** 1 
0.48** -0.57** 
0.42** -0.55** 
-0.14 0.07 
-0.12 0.06 
-0.31* -0.21 
-0.27* -0.19 
0.08 -0.18 
-0.05 -0.16 
0.21 0.14 
0.16 0.11 


1 
1 

0.31* 
0.28* 


0.24 


0.21 
-0.09 
-0.08 
0.09 


0.06 


1 
1 

-0.24 
-0.23 
0.39** 
0.28* 
0.42** 


0.39** 


1 


1 


0.49** 
0.45** 
0.30* 


0.28" 


1 
1 
-0.52** 


-0.48** 


1 


1 


HL= Hulling %, ML= Milling %, HRR %= Head Rice Recovery, KL= Kernel Length, KB= Kernel Breadth, ER= Elongation Ratio, 
ASV= Alkali spreading value, AC %= Amylose Content, GC (mm) = Gel Consistency.* significant variation at 5% probability, ** 
significant variation at 1% probability. 


Int J Cur Res Rev | Vol 11 + Issue 12 « June 2019