Community Surveys

October, 2020


Survey was launched in October 2021 with 535 participants. Responses shown are only for those respondents who answered the questions (numbers of responses may vary between questions)

How familiar are you with research efforts to improve the genetics of crops and/or livestock?

  Answers Count    
1 Not familiar 14 ( 3.0%)  
14 (3.0%)
2 Somewhat familiar 141 (30.2%)  
141 (30.2%)
3 Very Familiar 312 (66.8%)
312 (66.8%)
    467    

The main goal of genome to phenome (G2P) research is to identify genome variation associated with phenotype variation, and to use these data to predict and improve future traits in crops and livestock. How familiar are you with this type of research?

  Answers Count    
1 This is the first time I have heard of it 44 ( 9.4%)  
44 (9.4%)
2 I have listened to discussions on G2P 103 (22.1%)  
103 (22.1%)
3 I have colleagues conducting G2P research 114 (24.4%)  
114 (24.4%)
4 I participate in G2P research 206 (44.1%)
206 (44.1%)
    467    

Without respect to your ability to participate, how important do you believe each of the following activities are for advancing G2P research? Please rate activities from not critical to very critical.

  Answers Not critical Critical Very critical Total
1 Share information about AG2P science - learnings, tools, and methods 8 ( 2.2%) 152 (42.3%) 199 (55.4%) 359
2 Plan integration of agriculture and technology for improving crop and livestock products 27 ( 7.5%) 160 (44.7%) 171 (47.8%) 358
3 Bring together potential collaborators from complementary disciplines in crop and livestock science 24 ( 6.7%) 149 (41.6%) 185 (51.7%) 358
4 Strengthen coordination across existing research teams/projects (e.g., Genomes to Fields, Functional Annotation of Animal Genomes, etc.) 23 ( 6.4%) 149 (41.7%) 185 (51.8%) 357
5 Nurture international coordination of genome to phenome networks 39 (11.0%) 169 (47.5%) 148 (41.6%) 356
6 Coordinate sharing of genotyping and phenotyping resources across institutions 11 ( 3.1%) 145 (40.5%) 202 (56.4%) 358
7 Encourage development of tools for the G2P frontier; i.e., organism-level modeling, handling GxE and GxExM interactions 21 ( 5.9%) 162 (45.4%) 174 (48.7%) 357
8 Advocate AG2P research needs to funding agencies in the U.S. and internationally 23 ( 6.5%) 112 (31.5%) 221 (62.1%) 356

What scientific discipline do you represent?

  Answers Count    
1 Agriculture, General 77 (10.2%)  
77 (10.2%)
2 Animal Science 114 (15.1%)  
114 (15.1%)
3 Biological Science 86 (11.4%)  
86 (11.4%)
4 Computer Science 16 ( 2.1%)  
16 (2.1%)
5 Data Sciences (including applied mathematics, bioinformatics, statistics) 79 (10.4%)  
79 (10.4%)
6 Crop/Plant Science 99 (13.1%)  
99 (13.1%)
7 Economics 5 ( 0.7%)  
5 (0.7%)
8 Engineering 14 ( 1.8%)  
14 (1.8%)
9 Genetics/Genomics/Plant Breeding 106 (14.0%)  
106 (14.0%)
10 Genetics/Genomics/Animal Breeding 116 (15.3%)
116 (15.3%)
11 Physical Science 7 ( 0.9%)  
7 (0.9%)
12 Social science 4 ( 0.5%)  
4 (0.5%)
13 Other 34 ( 4.5%)  
34 (4.5%)
    757    

Where do you live?

  Answers Count    
1 United States 234 (68.4%)
234 (68.4%)
2 Canada 6 ( 1.8%)  
6 (1.8%)
3 Mexico 4 ( 1.2%)  
4 (1.2%)
4 Australia/New Zealand 8 ( 2.3%)  
8 (2.3%)
5 Central America 0 ( 0.0%)  
0 (0.0%)
6 South America 8 ( 2.3%)  
8 (2.3%)
7 Europe 49 (14.3%)  
49 (14.3%)
8 Africa 12 ( 3.5%)  
12 (3.5%)
9 Asia 21 ( 6.1%)  
21 (6.1%)
    342    

What is your current occupation?

  Answers Count    
1 Administrator 23 ( 6.8%)  
23 (6.8%)
2 Professor 116 (34.2%)  
116 (34.2%)
3 Research scientist 156 (46.0%)
156 (46.0%)
4 Technician/Associate/Staff member 13 ( 3.8%)  
13 (3.8%)
5 Postdoctoral researcher 15 ( 4.4%)  
15 (4.4%)
6 Graduate Student 16 ( 4.7%)  
16 (4.7%)
7 Undergraduate student 0 ( 0.0%)  
0 (0.0%)
    339    

What type of organization employs you?

  Answers Count    
1 University or College 168 (49.6%)
168 (49.6%)
2 Government agency 119 (35.1%)  
119 (35.1%)
3 For-profit company 20 ( 5.9%)  
20 (5.9%)
4 Non-governmental organization (NGO) 12 ( 3.5%)  
12 (3.5%)
5 Other 20 ( 5.9%)  
20 (5.9%)
    339    

What species do you use for your genomics, phenomics, or other related data science related work?

  Answers Count    
1 Cattle 48 (15.7%)
48 (15.7%)
2 Swine 32 (10.5%)  
32 (10.5%)
3 Maize 23 ( 7.5%)  
23 (7.5%)
4 Sheep 22 ( 7.2%)  
22 (7.2%)
5 Wheat 13 ( 4.2%)  
13 (4.2%)
6 Chicken 13 ( 4.2%)  
13 (4.2%)
7 Soybean 11 ( 3.6%)  
11 (3.6%)
8 Goats 11 ( 3.6%)  
11 (3.6%)
9 Tomato 7 ( 2.3%)  
7 (2.3%)
10 Bees 6 ( 2.0%)  
6 (2.0%)
11 Oysters 5 ( 1.6%)  
5 (1.6%)
12 Sorghum 5 ( 1.6%)  
5 (1.6%)
13 Peas 5 ( 1.6%)  
5 (1.6%)
14 Grape 5 ( 1.6%)  
5 (1.6%)
15 Cotton 4 ( 1.3%)  
4 (1.3%)
16 Fish (Rainbow Trout, Catfish, Striped Bass, Salmon, Zebrafish, etc) 14 ( 4.6%)  
14 (4.6%)
17 Sugarcane 4 ( 1.3%)  
4 (1.3%)
18 Horse 4 ( 1.3%)  
4 (1.3%)
19 Rice 4 ( 1.3%)  
4 (1.3%)
20 Citrus 3 ( 1.0%)  
3 (1.0%)
21 Barley 3 ( 1.0%)  
3 (1.0%)
22 Cassava 3 ( 1.0%)  
3 (1.0%)
23 Potato 3 ( 1.0%)  
3 (1.0%)
24 Peanut 3 ( 1.0%)  
3 (1.0%)
25 Trees (Pine, Ash, Chestnut, Redbud, White Oak, etc) 7 ( 2.3%)  
7 (2.3%)
26 Shellfish and Oysters 3 ( 1.0%)  
3 (1.0%)
27 Insects (Mosquitos, worms, etc) 4 ( 1.3%)  
4 (1.3%)
28 Other 41 (13.4%)  
41 (13.4%)
    306    

Please indicate your interest in applying your skills and time to G2P research.

  Answers Count    
1 Not interested 23 ( 4.9%)  
23 (4.9%)
2 Potentially interested but I need to learn more about G2P 161 (34.5%)  
161 (34.5%)
3 I am interested in participating 283 (60.6%)
283 (60.6%)
    467    

What G2P resources do you create for your work in genomics, phenomics, or data science?

  Answers Yes No Total
1 Diverse/unique germplasm (breeding collections, mutations, transgenes, etc.) 115 (44.4%) 144 (55.6%) 259
2 Genome assembly and/or annotation 115 (44.9%) 141 (55.1%) 256
3 Genotyping tools and/or facilities 97 (38.5%) 155 (61.5%) 252
4 Genotyping data 159 (62.1%) 97 (37.9%) 256
5 Epigenomic/functional genomic data 104 (42.4%) 141 (57.6%) 245

What G2P resources do you currently rely on for your work in genomics, phenomics, or data science? (please rate each 1-5 for how critical they are for your work; 5=most critical; please mark N/A if you do not use the resource in your work)

  Answers N/A 1 2 3 4 5 Total
1 Diverse/unique germplasm (breeding collections, mutations, transgenes, etc.) 61 (23.3%) 12 ( 4.6%) 12 ( 4.6%) 24 ( 9.2%) 30 (11.5%) 123 (46.9%) 262
2 Genome assembly and/or annotation 40 (15.0%) 9 ( 3.4%) 18 ( 6.7%) 32 (12.0%) 42 (15.7%) 126 (47.2%) 267
3 Genotyping tools and/or facilities 41 (15.1%) 13 ( 4.8%) 9 ( 3.3%) 28 (10.3%) 45 (16.6%) 135 (49.8%) 271
4 Genotyping data 25 ( 9.3%) 9 ( 3.3%) 13 ( 4.8%) 21 ( 7.8%) 40 (14.8%) 162 (60.0%) 270
5 Epigenomic/functional genomic data 50 (18.9%) 21 ( 7.9%) 26 ( 9.8%) 44 (16.6%) 45 (17.0%) 79 (29.8%) 265

What G2P resources do you create for your work in genomics, phenomics, or data science?

  Answers Yes No Total
1 Ontologies and metadata standards 58 (24.9%) 175 (75.1%) 233
2 Centralized data storage 83 (34.9%) 155 (65.1%) 238
3 Rapid data transfer infrastructure 45 (19.4%) 187 (80.6%) 232
4 Advanced analytics, novel algorithm development 90 (38.8%) 142 (61.2%) 232
5 Image analysis methods and applications 78 (33.5%) 155 (66.5%) 233

What G2P resources do you currently rely on for your work in genomics, phenomics, or data science? (please rate each 1-5 for how critical they are for your work; 5=most critical; please mark N/A if you do not use the resource in your work)

  Answers N/A 1 2 3 4 5 Total
1 Ontologies and metadata standards 40 (17.1%) 13 ( 5.6%) 23 ( 9.8%) 50 (21.4%) 46 (19.7%) 62 (26.5%) 234
2 Centralized data storage 28 (11.7%) 6 ( 2.5%) 27 (11.3%) 35 (14.6%) 58 (24.3%) 85 (35.6%) 239
3 Rapid data transfer infrastructure 40 (16.9%) 13 ( 5.5%) 26 (11.0%) 46 (19.4%) 47 (19.8%) 65 (27.4%) 237
4 Advanced analytics, novel algorithm development 39 (16.2%) 11 ( 4.6%) 11 ( 4.6%) 48 (20.0%) 49 (20.4%) 82 (34.2%) 240
5 Image analysis methods and applications 50 (20.9%) 20 ( 8.4%) 30 (12.6%) 43 (18.0%) 45 (18.8%) 51 (21.3%) 239

What G2P resources do you create for your work in genomics, phenomics, or data science?

  Answers Yes No Total
1 Automated livestock movement and measurement systems 38 (16.2%) 196 (83.8%) 234
2 Automated crop movement and measurement systems 30 (12.7%) 207 (87.3%) 237
3 Field remote sensing platforms: UAVs, ground based, mobile 40 (17.1%) 194 (82.9%) 234
4 Robotics 24 (10.3%) 209 (89.7%) 233
5 Portable phenotyping devices 53 (22.2%) 186 (77.8%) 239
6 Off-the shelf imaging systems 38 (16.0%) 200 (84.0%) 238
7 Customized or novel imaging systems 49 (20.6%) 189 (79.4%) 238
8 Sensors- environmental 32 (13.4%) 207 (86.6%) 239
9 Sensors- organismal 28 (11.9%) 207 (88.1%) 235

What G2P resources do you currently rely on for your work in genomics, phenomics, or data science? (please rate each 1-5 for how critical they are for your work; 5=most critical; please mark N/A if you do not use the resource in your work)

  Answers #N/A 1 2 3 4 5 Total
1 Automated livestock movement and measurement systems 148 (63.5%) 14 ( 6.0%) 15 ( 6.4%) 13 ( 5.6%) 18 ( 7.7%) 25 (10.7%) 233
2 Automated crop movement and measurement systems 151 (66.2%) 21 ( 9.2%) 10 ( 4.4%) 15 ( 6.6%) 12 ( 5.3%) 19 ( 8.3%) 228
3 Field remote sensing platforms: UAVs, ground based, mobile 110 (48.0%) 20 ( 8.7%) 12 ( 5.2%) 31 (13.5%) 22 ( 9.6%) 34 (14.8%) 229
4 Robotics 122 (54.5%) 25 (11.2%) 16 ( 7.1%) 31 (13.8%) 15 ( 6.7%) 15 ( 6.7%) 224
5 Portable phenotyping devices 88 (37.1%) 11 ( 4.6%) 14 ( 5.9%) 32 (13.5%) 49 (20.7%) 43 (18.1%) 237
6 Off-the shelf imaging systems 92 (39.0%) 19 ( 8.1%) 24 (10.2%) 33 (14.0%) 37 (15.7%) 31 (13.1%) 236
7 Customized or novel imaging systems 104 (44.3%) 19 ( 8.1%) 23 ( 9.8%) 26 (11.1%) 29 (12.3%) 34 (14.5%) 235
8 Sensors- environmental 94 (40.2%) 16 ( 6.8%) 28 (12.0%) 32 (13.7%) 27 (11.5%) 37 (15.8%) 234
9 Sensors- organismal 111 (48.3%) 20 ( 8.7%) 25 (10.9%) 21 ( 9.1%) 23 (10.0%) 30 (13.0%) 230